Software Development &amp; IT

AWS Certified Developer – Associate

Skills

Certifications

AWS

MongoDB Node.js Developer Path

MongoDB

Languages

English (Native)

Spanish (Professional Working Proficiency)

Experience

Technical lead for customer-facing SaaS across web and API layers — TypeScript monorepos, GraphQL, and contract-tested service boundaries.

- Led delivery of customer-facing SaaS products across web applications and API services
- Designed a modular TypeScript monorepo with shared domain packages, reducing duplicated validation logic by 42% across frontend and backend systems.
- Built GraphQL resolvers and React query boundaries that reduced over-fetching, lowering median page payload size from 1.1MB to 640KB.
- Introduced contract testing between NestJS services and Next.js clients, preventing six release-blocking schema mismatches within a single quarter.

Multi-tenant commerce engineering — Stripe billing lifecycles, tRPC/Zod type safety, and Redis-backed internal tooling.

- Delivered checkout, catalogue, and fulfilment features for multi-tenant commerce platforms
- Implemented Stripe subscription lifecycle workflows with webhook idempotency keys, eliminating duplicate invoice incidents during retry storms.
- Migrated legacy REST endpoints to tRPC with Zod schemas, reducing client-side runtime type errors by 58% in Sentry.
- Built internal admin dashboards using TanStack Table and Redis-backed filtering, reducing support investigation time from 40 to 12 minutes.

Product engineering in an agile startup — reusable React forms, PostgreSQL migrations, and CI preview deployments.

- Supported core product engineering within an agile startup environment
- Created reusable form components with React Hook Form and server-side validation adapters, accelerating feature delivery by 30%.
- Wrote PostgreSQL migrations and data backfills for account settings rollouts without customer-facing downtime.
- Set up GitHub Actions preview deployments with smoke tests, catching broken routes before merge across 19 pull requests.

Education

Completed a Computer Science degree at The University of Manchester, with a focus on software engineering, web technologies, distributed systems, database design, and team-based product development projects.

Full-Stack Developer

Software Development & IT

Meta Front-End Developer Professional Certificate

Skills

Certifications

Meta

W3C Front-End Web Developer Certificate

W3C

Languages

English (Native)

French (Conversational)

Experience

Frontend architecture for a high-traffic B2B analytics platform — component systems, performance budgets, and WCAG AA accessibility.

- Led frontend architecture for a high-traffic B2B analytics platform
- Built reusable React components with Storybook and strict prop contracts, reducing duplicated UI code by 37% across product teams.
- Improved Lighthouse scores from 62 to 93 by splitting vendor bundles, lazy-loading dashboards, and replacing blocking third-party scripts.
- Implemented accessibility improvements for keyboard navigation and ARIA landmarks, achieving WCAG AA compliance ahead of enterprise procurement audits.

Growth and onboarding UX — container-query responsive design, feature-flagged rollouts, and visual regression testing.

- Developed responsive user experiences for growth and onboarding journeys
- Redesigned onboarding screens using CSS container queries and semantic HTML, increasing mobile completion rates by 18%.
- Integrated LaunchDarkly feature flags into client state management, enabling phased rollouts of high-risk UI changes to 5%, 25%, and finally 100% of users.
- Added visual regression testing with Playwright snapshots, preventing unintended design token regressions during weekly releases.

Design-system frontend work — D3 charting, token-driven CSS, and internationalized RTL layouts.

- Contributed to a web platform built around a shared design system
- Built charting components with D3 and memoised selectors, keeping dashboard interactions below 100ms for datasets with 50,000 rows.
- Refactored fragile class-based CSS into token-driven utility layers, reducing styling issues reported by QA.
- Worked with localisation specialists to support international layouts and RTL behaviour for Arabic and Hebrew interfaces.

Education

Completed a degree in Software Engineering at the University of Bristol, including coursework in React, TypeScript, Next.js, capstone projects, and collaborative software development assignments that prepared for a professional career.

Front-End Developer

Software Development & IT

Oracle Certified Professional: Java SE Developer

Experience

Core API and event-processing scale — Kafka orchestration, PostgreSQL query tuning, and OpenTelemetry observability.

- Scaled core APIs and event processing for enterprise integrations
- Redesigned a payment orchestration service using Kafka and outbox patterns, improving exactly-once processing reliability during peak traffic.
- Optimized PostgreSQL query plans with partial indexes and partitioning, reducing p95 report generation latency from 14s to 2.8s.
- Added OpenTelemetry tracing across Go services, enabling root-cause diagnosis for cross-service timeout chains in under 10 minutes.

Resilient API and data services for logistics — OAuth2 partner auth, async workers, and CI migration safety gates.

- Developed resilient API and data services for logistics clients
- Implemented OAuth2 token exchange and fine-grained scopes for partner APIs, passing SOC 2 security review without remediation findings.
- Built asynchronous document generation workers in Python with Celery and Redis, increasing throughput 4x over synchronous endpoints.
- Introduced schema migration gates in CI with rollback checks, preventing destructive DDL from reaching production databases.

API delivery and backend quality — audit-logging middleware, ERP integration tests, and API documentation.

- Supported API feature delivery and backend quality initiatives
- Implemented audit logging middleware with tenant-aware correlation IDs across Express services.
- Created integration tests for external ERP adapters using WireMock, reducing release regressions in sync workflows.
- Documented internal APIs with AsyncAPI and OpenAPI examples that accelerated onboarding for new engineers.

Education

Bachelor's-level training in computer engineering at Georgia Institute of Technology. Completed coursework in Java, Spring Boot, PostgreSQL, capstone projects, and collaborative assignments that prepared for professional roles.

Skills

Certifications

Oracle

AWS Certified Solutions Architect - Associate

AWS

Languages

English (Native)

Back-End Developer

Software Development & IT

Google Associate Android Developer

Skills

Certifications

Google

Meta React Native Specialization

Meta

Languages

English (Native)

Spanish (Conversational)

Experience

Cross-platform fintech mobile — offline-first React Native, biometric/PSD2 security, and startup-time optimization.

- Led cross-platform mobile delivery for fintech products
- Implemented offline-first account flows in React Native with SQLite sync queues, reducing failed submissions in low-connectivity regions by 31%.
- Built biometric auth and secure keychain storage patterns aligned with PSD2 requirements across iOS and Android.
- Reduced startup time by 46% using Hermes tuning, bundle splitting, and deferred analytics initialization.

Native marketplace features — Kotlin ML Kit scanning, Firebase experimentation, and automated UI testing.

- Developed native mobile features for marketplace applications
- Created Android Kotlin modules for camera-based barcode scanning with ML Kit, cutting manual item entry time by 55%.
- Integrated Firebase Remote Config for staged UI experiments, increasing premium upsell conversion by 9%.
- Implemented snapshot and instrumentation tests in XCTest and Espresso to stabilize release candidate quality.

Consumer app features and observability — Swift async networking, deep-link routing, and Crashlytics instrumentation.

- Supported feature implementation and observability for consumer apps
- Refactored Swift networking layer to async/await with typed decoding, reducing callback-related defects.
- Added deep-link routing and attribution mapping for campaign landing screens across platforms.
- Instrumented Crashlytics events with domain context, helping triage top crash signatures within one sprint.

Education

Bachelor's-level training in computer science at University of California, San Diego. Completed coursework in Swift, Kotlin, Flutter, capstone projects, and collaborative assignments that prepared for professional roles.

Mobile Developer

Software Development & IT

Unity Certified Professional: Programmer

Experience

Gameplay systems and performance for multiplayer titles — server-authoritative combat, render optimization, and telemetry.

- Built gameplay systems and performance pipelines for multiplayer titles
- Implemented deterministic server-authoritative combat logic in Unreal Engine, reducing client desync reports by 63%.
- Optimized draw-call budgets and LOD transitions, lifting average frame rate from 48 to 72 FPS on target console hardware.
- Designed telemetry hooks for match events and balancing metrics, enabling faster tuning of weapon and class fairness.

Live-ops gameplay and tooling — Unity ECS crowd AI, PlayFab entitlements, and content-validation automation.

- Developed gameplay features and build tooling for live operations
- Built Unity ECS systems for AI crowd navigation that sustained 200 NPCs per scene without frame spikes.
- Integrated PlayFab inventory and entitlement checks to support seasonal content drops with anti-duplication safeguards.
- Created automated content validation scripts that caught broken prefab references before nightly builds.

Mobile game tools and features — animation state fixes, in-editor analytics overlays, and memory-leak patching.

- Contributed to tools and feature work on a mobile game team
- Implemented animation state machine fixes that removed jitter during chained movement abilities.
- Added in-editor level analytics overlays to visualize death hotspots for designers.
- Collaborated with QA to reproduce and patch memory leaks tied to asset bundle unload timing.

Education

Bachelor's-level training in game development at Rochester Institute of Technology. Completed coursework in C++, C#, Unity, capstone projects, and collaborative assignments that prepared for professional roles.

Skills

Performance Optimization

Git

Agile Development

Certifications

Unity

Unreal Engine C++ Developer Certificate

Unreal

Languages

English (Native)

Game Developer

Software Development & IT

ARM Accredited Engineer (AAE)

Skills

Certifications

AAE

Certified LabVIEW Developer (for test automation contexts)

Certified

Languages

English (Native)

Experience

Firmware architecture for industrial IoT — RTOS scheduling, secure boot/OTA, and field-reliability engineering.

- Owned firmware architecture for industrial IoT controllers
- Designed RTOS task scheduling for sensor fusion workloads, maintaining deterministic latency under 8ms on ARM Cortex-M targets.
- Implemented secure boot and signed OTA updates, closing firmware tampering vectors identified in third-party audits.
- Reduced field failure rate by 29% through watchdog refinement and brownout recovery logic.

Low-level drivers and diagnostics — SPI/I2C abstractions, power optimization, and hardware-in-the-loop testing.

- Developed low-level drivers and diagnostics for connected hardware
- Built SPI and I2C driver abstractions for mixed-vendor peripherals, simplifying board bring-up across three product lines.
- Implemented power-state transitions and sleep-mode tuning that extended battery life by 22% in wearable devices.
- Created Python hardware-in-the-loop test suites for nightly regression of UART and BLE communication paths.

Firmware validation and production readiness — MISRA porting, SWD trace tooling, and EMC/firmware co-debugging.

- Supported firmware validation and production readiness efforts
- Ported legacy C modules to MISRA-aligned code standards to satisfy automotive compliance checks.
- Built debug macros and trace pipelines over SWD to accelerate root-cause analysis of intermittent boot faults.
- Collaborated with PCB team to map EMC issues to firmware timing adjustments during pre-certification.

Education

Bachelor's-level training in electrical engineering at Purdue University. Completed coursework in C, C++, Embedded Linux, capstone projects, and collaborative assignments that prepared for professional roles.

Embedded Engineer

Software Development & IT

Data & AI

5 examples

Google Data Analytics Professional Certificate

Experience

Analytics for revenue and retention — dbt semantic models, Tableau executive scorecards, and experiment design.

- Led analytics initiatives for revenue and retention programs
- Developed dbt semantic models for lifecycle metrics, aligning growth and finance reporting to a single source of truth.
- Built Tableau executive scorecards with anomaly flags that surfaced churn spikes two weeks earlier than prior reporting.
- Designed experiment analysis templates with CUPED adjustments, improving A/B test sensitivity for low-volume segments.

Product dashboards and exploratory analysis — BigQuery/Looker automation, cohort segmentation, and SQL quality checks.

- Delivered dashboards and exploratory analyses for product teams
- Automated weekly funnel reporting in BigQuery and Looker, saving product managers six hours of manual spreadsheet work.
- Segmented customer cohorts by acquisition source and behavior, identifying a high-LTV channel that increased paid budget efficiency.
- Wrote SQL quality checks that prevented double-counted sessions after event schema updates.

Self-serve reporting support — event-taxonomy mapping, Python retention analyses, and metric governance.

- Supported analytics requests and self-serve reporting initiatives
- Mapped event taxonomy gaps in Amplitude and partnered with engineers to improve tracking coverage for core flows.
- Produced ad hoc retention analyses with Python notebooks and Seaborn visualizations for leadership reviews.
- Maintained metric definitions in a data catalog to reduce interpretation mismatches across departments.

Education

Bachelor's-level training in statistics at University of Wisconsin–Madison. Completed coursework in SQL, Python, Power BI, capstone projects, and collaborative assignments that prepared for professional roles.

Skills

Certifications

Google

Tableau Certified Data Analyst

Tableau

Languages

English (Native)

Data Analyst

Software Development & IT

Google Professional Data Engineer

Skills

Certifications

Google

Databricks Certified Data Engineer Associate

Databricks

Languages

English (Native)

Experience

Reliable data platforms for analytics and ML — Kafka-to-Snowflake ingestion, Airflow observability, and Delta Lake versioning.

- Architected reliable data platforms for analytics and ML teams
- Implemented Kafka-to-Snowflake ingestion with exactly-once semantics and schema registry enforcement for 2B daily events.
- Built Airflow DAG observability with lineage and SLA alerts, reducing unnoticed pipeline failures by 78%.
- Introduced table versioning and backfill orchestration in Delta Lake to support reproducible historical reprocessing.

ETL/ELT for analytics and finance — incremental dbt models, Debezium CDC, and warehouse PII governance.

- Developed ETL/ELT pipelines for product analytics and finance reporting
- Designed incremental dbt models for order and invoice marts, cutting warehouse compute cost by 34%.
- Created CDC ingestion from PostgreSQL using Debezium connectors to keep downstream marts under five-minute freshness.
- Enforced PII tagging and masking rules in warehouse views to satisfy internal privacy and access policies.

Pipeline maintenance and platform docs — Prefect orchestration, Great Expectations checks, and data-source CLI tooling.

- Supported data pipeline maintenance and platform documentation
- Refactored brittle cron scripts into orchestrated Prefect flows with retries and failure notifications.
- Added Great Expectations checks for null spikes and referential integrity in core fact tables.
- Built internal CLI tools to bootstrap new data sources with standard contract and metadata templates.

Education

Bachelor's-level training in computer science at University of Illinois Urbana-Champaign. Completed coursework in Python, SQL, Apache Spark, capstone projects, and collaborative assignments that prepared for professional roles.

Data Engineer

Software Development & IT

TensorFlow Developer Certificate

Skills

Certifications

TensorFlow

IBM Data Science Professional Certificate

IBM

Languages

English (Native)

German (Conversational)

Experience

Predictive modeling for personalization and churn — XGBoost propensity models, feature-store governance, and causal inference.

- Led predictive modeling initiatives for personalization and churn prevention
- Built propensity models with XGBoost and calibrated probabilities, increasing precision of retention campaigns by 24%.
- Created a feature store governance process with versioned transformations to ensure training-serving consistency.
- Presented causal inference findings to product leadership, reshaping pricing experiments to avoid Simpson paradox artifacts.

ML solutions and experimentation — Prophet demand forecasting, SHAP interpretability, and MLflow productionization.

- Developed machine learning solutions and experimentation frameworks
- Implemented demand forecasting models using Prophet and hierarchical reconciliation for region-level planning.
- Designed SHAP-based model interpretability dashboards that improved stakeholder trust for automated recommendations.
- Partnered with engineering to productionize notebook prototypes into batch scoring jobs with MLflow tracking.

Model development and data exploration — transformer text features, imbalanced-data evaluation, and reproducible reporting.

- Supported model development and data exploration workflows
- Engineered text features with sentence transformers for support ticket triage, reducing manual routing load.
- Conducted error analysis on class-imbalanced datasets and introduced stratified evaluation protocols.
- Automated model evaluation reports in Jupyter and Weights & Biases for reproducible experiment reviews.

Education

Graduate studies in data science covering advanced theory, applied projects, and research methods. Coursework emphasized Python, Pandas, Scikit-learn and professional communication.

Data Scientist

Software Development & IT

Google Professional Machine Learning Engineer

Experience

Production ML systems — Kubernetes inference serving, drift detection with auto-retraining, and canary model deployment.

- Operationalized machine learning systems for large-scale production use
- Built feature pipelines and online inference endpoints in Kubernetes, serving sub-120ms recommendations at 4k RPS.
- Implemented drift detection using PSI and KS tests with automated retraining triggers, reducing stale-model incidents.
- Introduced canary deployment policies for model versions with shadow traffic evaluation before production cutover.

Training and serving infrastructure for ranking — distributed PyTorch training, MLflow model registry, and FAISS retrieval.

- Developed model training and serving infrastructure for ranking systems
- Containerized PyTorch training jobs with distributed data parallel execution, cutting training time from 11 to 6 hours.
- Created model registry workflows with approval gates and lineage metadata using MLflow and GitOps controls.
- Built low-latency ANN retrieval services with FAISS for semantic search over 40M product descriptions.

ML platform reliability and integration — TFDV data contracts, Airflow batch inference, and reproducible environments.

- Supported ML platform reliability and model integration tasks
- Implemented data validation contracts with TensorFlow Data Validation to catch feature schema breaks early.
- Wrote batch inference orchestration jobs in Airflow with checkpoint recovery for long-running workloads.
- Added reproducible environment lockfiles for training jobs, eliminating dependency mismatch failures in CI.

Education

Bachelor's-level training in computer science at Carnegie Mellon University. Completed coursework in Python, PyTorch, TensorFlow, capstone projects, and collaborative assignments that prepared for professional roles.

Skills

Certifications

Google

AWS Certified Machine Learning - Specialty

AWS

Languages

English (Native)

ML Engineer

Software Development & IT

Microsoft Certified: Azure AI Engineer Associate

Skills

Certifications

Microsoft

Google Cloud Generative AI Engineer Path

Google

Languages

English (Native)

Mandarin Chinese (Conversational)

Experience

LLM products with safety and evaluation — RAG with re-ranking, guardrail middleware, and automated eval suites.

- Designed LLM-powered products with robust safety and evaluation workflows
- Implemented retrieval-augmented generation with vector re-ranking and source attribution, lifting answer accuracy in offline evals by 27%.
- Built prompt versioning and guardrail middleware for policy, PII redaction, and jailbreak detection before model calls.
- Defined automated eval suites with golden datasets and rubric scoring to gate releases of conversational agents.

AI copilots for operations and support — multi-model routing, streaming UX, and schema-validated tool calling.

- Developed AI copilots for internal operations and customer support
- Integrated OpenAI and local fallback models behind a routing layer tuned for latency, cost, and quality thresholds.
- Built streaming response UX with interruption handling and context window summarization for long chats.
- Created tool-calling orchestration for CRM and billing APIs with strict JSON schema validation.

Generative AI experimentation and deployment — prompt experiments, embedding-refresh jobs, and token/cost monitoring.

- Supported experimentation and deployment of generative AI features
- Constructed prompt experiments for intent classification and response tone control using LangChain evaluators.
- Implemented embedding refresh jobs with incremental document chunking to keep knowledge bases current.
- Monitored token usage and request traces in Langfuse dashboards to detect cost regressions after feature launches.

Education

Graduate studies in artificial intelligence covering advanced theory, applied projects, and research methods. Coursework emphasized Python, PyTorch, LangChain and professional communication.

AI Engineer

Software Development & IT

Infrastructure

4 examples

AWS Certified DevOps Engineer - Professional

Skills

Infrastructure as Code

Certifications

AWS

Certified Kubernetes Administrator (CKA)

CNCF

Languages

English (Native)

Experience

Platform automation and release engineering — Terraform policy-as-code, Argo CD GitOps, and Vault secrets management.

- Owned platform automation and release engineering for SaaS infrastructure
- Implemented Terraform module standards with policy-as-code checks, reducing misconfigured cloud resources across environments.
- Built Argo CD GitOps pipelines with progressive rollouts, cutting failed deployment rollback time by 65%.
- Established centralized secrets management with Vault dynamic credentials and short-lived leases.

CI/CD and operational resilience — GitHub Actions migration, Kubernetes health probes, and SLO dashboards.

- Improved CI/CD and operational resilience for multi-service platforms
- Refactored Jenkins pipelines into reusable GitHub Actions workflows, reducing average pipeline execution time by 38%.
- Containerized legacy services and standardized health probes, improving Kubernetes auto-recovery behavior.
- Configured SLO dashboards and error budget burn alerts that helped teams prioritize reliability work.

Infrastructure operations and deployment tooling — Helm preview environments, incident runbooks, and Trivy image scanning.

- Supported infrastructure operations and deployment tooling
- Automated ephemeral preview environments for pull requests using Helm and namespace templates.
- Created runbooks for incident response escalation and service restoration workflows.
- Implemented image scanning gates with Trivy to block critical vulnerabilities before deploy.

Education

Bachelor's-level training in information technology at Virginia Tech. Completed coursework in AWS, Kubernetes, Docker, capstone projects, and collaborative assignments that prepared for professional roles.

DevOps Engineer

Software Development & IT

Google Professional Cloud DevOps Engineer

Skills

Certifications

Google

Linux Foundation Site Reliability Engineering Certificate

Linux

Languages

English (Native)

Experience

Reliability engineering and incident management — SLOs/error budgets, auto-remediation playbooks, and incident command.

- Led reliability engineering and incident management for critical systems
- Defined service-level objectives and error budgets for 25+ microservices, improving reliability prioritization during planning cycles.
- Built auto-remediation playbooks triggered by Prometheus alerts to resolve common saturation incidents without pager escalation.
- Reduced p1 incident duration by introducing structured incident command and timeline capture tooling.

High availability and observability — multi-region failover drills, Kubernetes autoscaling tuning, and RED/USE metrics.

- Maintained high availability and observability for customer-facing APIs
- Implemented multi-region failover drills and chaos scenarios to validate dependency timeouts and fallback logic.
- Tuned Kubernetes HPA and VPA settings based on workload profiles, reducing CPU throttling events during spikes.
- Instrumented RED and USE metrics with dashboard templates adopted by all product teams.

On-call operations and reliability automation — synthetic checks, post-incident verification, and log-indexing improvements.

- Supported on-call operations and reliability automation tasks
- Created synthetic checks for critical customer journeys and integrated them with pager duty routing rules.
- Wrote post-incident follow-up scripts to verify remediation tasks and stale alert cleanup.
- Improved log indexing strategy in OpenSearch, lowering investigation time for cross-service incidents.

Education

Bachelor's-level training in computer engineering at North Carolina State University. Completed coursework in Linux, Kubernetes, Prometheus, capstone projects, and collaborative assignments that prepared for professional roles.

Site Reliability Engineer

Software Development & IT

AWS Certified Solutions Architect - Professional

Experience

Cloud landing zones and multi-account governance — Control Tower guardrails, cost dashboards, and secure networking.

- Designed cloud landing zones and scalable multi-account environments
- Implemented AWS Control Tower guardrails and account vending pipelines to standardize governance across business units.
- Built cost allocation dashboards with CUR data and rightsizing recommendations, reducing monthly spend by 19%.
- Designed private networking patterns with Transit Gateway and centralized egress controls for regulated workloads.

Cloud infrastructure and platform work — EKS migrations, DR replication testing, and least-privilege IAM.

- Delivered cloud infrastructure and platform enhancements
- Migrated stateful services from VM clusters to EKS with persistent volume strategies and zero-data-loss cutover.
- Automated disaster recovery replication testing for RDS and object storage to meet quarterly compliance checks.
- Implemented IAM role boundaries and least-privilege templates for CI workloads.

Cloud operations and automation — Terraform/CloudFormation provisioning, budget alarms, and architecture documentation.

- Supported cloud operations and automation initiatives
- Created CloudFormation and Terraform wrappers for standardized environment provisioning.
- Set up CloudWatch metric filters and budget alarms to proactively flag risky spend anomalies.
- Documented cloud architecture diagrams and runbooks for handoff to support teams.

Education

Bachelor's-level training in computer science at Arizona State University. Completed coursework in AWS, Azure, Terraform, capstone projects, and collaborative assignments that prepared for professional roles.

Skills

Certifications

AWS

Microsoft Certified: Azure Solutions Architect Expert

Microsoft

Languages

English (Native)

Spanish (Conversational)

Cloud Engineer

Software Development & IT

Microsoft Certified: Windows Server Hybrid Administrator Associate

Skills

Certifications

Microsoft

Red Hat Certified System Administrator (RHCSA)

RHCSA

Languages

English (Native)

Experience

Hybrid infrastructure, identity, and endpoints — Entra ID migration, Ansible patch automation, and privileged-access control.

- Managed hybrid infrastructure, identity, and endpoint operations
- Led migration from legacy on-prem AD to hybrid Entra ID with conditional access policies and reduced login friction.
- Automated patch management windows via Ansible and WSUS orchestration, raising compliance from 71% to 97%.
- Implemented tiered privileged access and jump-host controls to reduce lateral movement risk.

Server reliability and enterprise tooling — Zabbix monitoring, backup/restore drills, and Intune imaging.

- Maintained server reliability and enterprise tooling
- Consolidated Linux and Windows monitoring into Zabbix templates with service-level alert routing.
- Built backup verification jobs and quarterly restore drills for critical file and database systems.
- Standardized workstation imaging with Intune autopilot profiles for faster employee onboarding.

Operational support and hardening — DNS/DHCP/GPO troubleshooting, PowerShell automation, and asset documentation.

- Provided operational support and infrastructure hardening
- Resolved tier-two incidents involving DNS, DHCP, and group policy conflicts across distributed offices.
- Authored PowerShell scripts to automate user lifecycle tasks and mailbox provisioning.
- Documented network topology changes and asset inventory updates for audit readiness.

Education

Bachelor's-level training in information systems at Michigan State University. Completed coursework in Windows Server, Linux Administration, Active Directory, capstone projects, and collaborative assignments that prepared for professional roles.

System Administrator

Software Development & IT

Security

3 examples

Security

Experience

Detection engineering and threat analysis — MITRE ATT&CK Splunk rules, phishing simulations, and EDR threat hunting.

- Led detection engineering and threat analysis for enterprise environments
- Developed MITRE ATT&CK-aligned detection rules in Splunk, increasing true-positive rates for credential abuse patterns.
- Coordinated phishing simulation and user training programs that lowered click-through rates by 41%.
- Performed threat hunting on EDR telemetry and uncovered stealth persistence via abused scheduled tasks.

Security monitoring and incident triage — SOAR playbooks, cloud-misconfiguration remediation, and IOC enrichment.

- Monitored security events and executed incident triage workflows
- Built triage playbooks in SOAR for malware and impossible-travel alerts, reducing analyst response time.
- Mapped cloud misconfigurations in AWS accounts and partnered with platform teams on remediation.
- Maintained IOC enrichment pipelines using VirusTotal and MISP integrations.

SOC operations and baseline hardening — authentication investigations, CIS benchmark validation, and threat briefings.

- Supported SOC operations and baseline hardening initiatives
- Investigated suspicious authentication patterns with Azure AD and Okta logs during after-hours escalations.
- Contributed to endpoint hardening rollout by validating CIS benchmark settings.
- Generated weekly threat trend briefings for IT leadership and risk committees.

Education

Bachelor's-level training in cybersecurity at University of Maryland Global Campus. Completed coursework in SIEM Tools, Threat Analysis, Vulnerability Management, capstone projects, and collaborative assignments that prepared for professional roles.

Skills

SIEM Tools

Threat Analysis

Vulnerability Management

Certifications

CompTIA CySA+

CompTIA

GIAC Certified Incident Handler (GCIH)

GCIH

Languages

English (Native)

Cybersecurity Analyst

Software Development & IT

Certified Information Systems Security Professional (CISSP)

Security

Experience

Security controls in cloud-native development — SDLC threat modeling, secure CI templates, and mTLS/SPIFFE identity.

- Embedded security controls into cloud-native product development
- Implemented threat modeling workshops in SDLC gates, reducing critical design-time vulnerabilities in new services.
- Built secure-by-default CI templates with SAST, dependency scanning, and IaC policy checks.
- Created service-to-service mTLS rollout strategy using SPIFFE identities across Kubernetes workloads.

Platform security tooling and remediation — secrets-detection bots, field-level encryption, and exception workflows.

- Developed platform security tooling and remediation workflows
- Designed secrets detection bots for pull requests to block accidental key exposure before merge.
- Implemented tokenization and field-level encryption for sensitive user attributes in event pipelines.
- Built vulnerability exception workflows with expiry enforcement to prevent permanent risk acceptance.

Security engineering and compliance automation — Terraform compliance modules, OWASP ASVS mapping, and SBOM automation.

- Supported security engineering and compliance automation efforts
- Authored reusable Terraform compliance modules for logging, retention, and encryption controls.
- Mapped OWASP ASVS requirements to engineering stories for quarterly release trains.
- Automated SBOM generation and license policy checks for containerized services.

Education

Bachelor's-level training in computer engineering at Texas A&M University. Completed coursework in Cloud Security, IAM, AWS Security, capstone projects, and collaborative assignments that prepared for professional roles.

Skills

Vulnerability Management

SIEM

Certifications

ISC2

GIAC Cloud Security Automation (GCSA)

GCSA

Languages

English (Native)

Security Engineer

Software Development & IT

OffSec Certified Professional (OSCP)

Security

Skills

Web Application Testing

Reporting

Certifications

Offensive Security

GIAC Penetration Tester (GPEN)

GPEN

Languages

English (Native)

Experience

Offensive security against web and cloud — SSRF exploitation chains, red-team simulations, and custom fuzzing tools.

- Led offensive security engagements against web and cloud environments
- Discovered chained SSRF-to-credential theft path in staging cloud metadata service and delivered prioritized remediation plan.
- Conducted red-team simulations with phishing and lateral movement phases to validate detection and response controls.
- Built custom Burp and Python tooling for authenticated API fuzzing against GraphQL and REST endpoints.

Offensive assessments for enterprises and startups — network pivoting, deserialization exploits, and cloud privilege escalation.

- Executed offensive assessments for enterprise and startup clients
- Performed network exploitation tests with segmented pivoting to evaluate internal trust boundary assumptions.
- Identified insecure deserialization issue in Java service chain and provided proof-of-concept exploit safely.
- Ran cloud configuration reviews and privilege escalation tests for IAM roles across multi-account setups.

Vulnerability validation and reporting — manual false-positive triage, reproducible attack paths, and recon automation.

- Supported vulnerability validation and reporting delivery
- Validated scanner findings manually to reduce false positives before final client reports.
- Documented reproducible attack paths with remediation guidance tailored to engineering teams.
- Automated recon workflows with Nmap, httpx, and nuclei templates for faster engagement kickoffs.

Education

Bachelor's-level training in information security at Purdue University. Completed coursework in Burp Suite, Metasploit, Kali Linux, capstone projects, and collaborative assignments that prepared for professional roles.

Penetration Tester

Software Development & IT

Design & Product

4 examples

Nielsen Norman Group UX Certification

Skills

Information Architecture

Usability Testing

Design Systems

Certifications

NN/g

HFI Certified Usability Analyst (CUA)

CUA

Languages

English (Native)

Spanish (Conversational)

Experience

Research and interaction design for enterprise workflows — task-flow design, journey maps, and moderated usability studies.

- Led research and interaction design for workflow-heavy enterprise products
- Designed end-to-end task flows from discovery interviews, reducing time-to-complete for onboarding scenarios by 28%.
- Built journey maps and service blueprints that aligned product and support teams on friction points.
- Ran moderated usability sessions and synthesized findings into prioritized design backlog updates.

User-centered interaction across web and mobile — Figma prototyping, microcopy collaboration, and funnel instrumentation.

- Delivered user-centered interaction patterns across web and mobile
- Prototyped complex settings workflows in Figma with interactive variables, enabling faster validation before engineering handoff.
- Collaborated with content designers to improve microcopy clarity in permission and error states.
- Instrumented funnel metrics tied to UX hypotheses to validate design impact after release.

Research operations and wireframing — accessible annotated wireframes, competitive analysis, and research repositories.

- Supported research operations and wireframing initiatives
- Created annotated wireframes with accessibility intent notes for keyboard and screen reader interactions.
- Conducted competitive analyses on productivity apps to inform navigation architecture decisions.
- Maintained research repositories with tagged insights for cross-team discovery.

Education

Bachelor's-level training in human-computer interaction at Indiana University Bloomington. Completed coursework in User Research, Wireframing, Figma, capstone projects, and collaborative assignments that prepared for professional roles.

UX Designer

Software Development & IT

Interaction Design Foundation UI Design Course Certificate

Skills

Certifications

Interaction

Adobe Certified Professional in Visual Design

Adobe

Languages

English (Native)

Experience

Visual design systems for multi-product SaaS — design tokens, component specs, and accessible dark-mode color.

- Owned visual design systems for multi-product SaaS suites
- Built token-based UI foundations for color, spacing, and typography that reduced visual inconsistencies across products.
- Defined component states and interaction specs consumed directly by frontend teams in Storybook.
- Improved dark-mode contrast and semantic color mapping to meet WCAG AA targets at scale.

Polished consumer web interfaces — high-fidelity Figma auto-layout, iconography guidelines, and visual QA checklists.

- Designed polished interfaces for consumer web experiences
- Created high-fidelity screens and responsive variants in Figma auto-layout for faster implementation.
- Developed iconography and illustration guidelines that strengthened brand recognition across key journeys.
- Partnered with QA to establish visual acceptance checklists for release readiness.

Component library and production handoff — pixel-accurate specs, edge-case states, and component-inventory audits.

- Supported component library evolution and production handoffs
- Prepared pixel-accurate handoff specs with spacing tokens and state documentation for engineers.
- Designed empty, loading, and error states to maintain consistent product tone during edge cases.
- Maintained component inventory audits to identify and consolidate duplicate patterns.

Education

Bachelor's-level training in graphic design at Savannah College of Art and Design. Completed coursework in Figma, Adobe Creative Suite, Design Systems, capstone projects, and collaborative assignments that prepared for professional roles.

UI Designer

Software Development & IT

Cross-Functional Collaboration

Experience

Product design strategy for subscription software — discovery-to-delivery, prioritization frameworks, and north-star metrics.

- Drove product design strategy for subscription software platforms
- Led discovery-to-delivery cycles for billing and account management experiences that reduced support tickets by 33%.
- Balanced user needs and business constraints through prioritization frameworks shared with product managers.
- Defined north-star experience metrics and partnered with analytics to track behavioral shifts after redesigns.

End-to-end design across activation and retention — experiment-ready onboarding, cross-platform patterns, and design critiques.

- Owned end-to-end product design across activation and retention surfaces
- Designed experiment-ready onboarding variants and collaborated on rollout decisions using test outcomes.
- Mapped cross-platform interaction patterns to ensure continuity between desktop and mobile experiences.
- Facilitated design critiques that improved decision quality and reduced rework before engineering kickoff.

Research-informed design execution — clickable prototypes, opportunity framing, and component documentation.

- Supported product squads with research-informed design execution
- Created clickable prototypes for concept validation interviews with target personas.
- Synthesized support transcripts into problem statements and opportunity areas for roadmap planning.
- Contributed to component-level design documentation to streamline implementation handoff.

Education

Bachelor's-level training in human-centered design and engineering at University of Washington. Completed coursework in Product Design, UX Research, UI Design, capstone projects, and collaborative assignments that prepared for professional roles.

Skills

Certifications

Product School Product Design Certificate

Product

IDEO U Foundations in Design Thinking Certificate

IDEO

Languages

English (Native)

French (Conversational)

Product Designer

Software Development & IT

ISTQB Certified Tester Foundation Level

Skills

Certifications

ISTQB

ASTQB Mobile Testing Certification

ASTQB

Languages

English (Native)

Experience

Quality strategy for web, API, and mobile pipelines — risk-based test planning, parallel E2E suites, and contract testing.

- Owned quality strategy for web, API, and mobile release pipelines
- Built risk-based test planning framework that prioritized regression scope by customer impact and change history.
- Implemented Cypress and Playwright parallel suites with deterministic fixtures, cutting end-to-end runtime by 52%.
- Integrated contract and consumer-driven tests into CI, catching breaking API changes before staging deploys.

Automated and exploratory testing for agile teams — Postman/Newman API tests, defect taxonomy, and cross-browser campaigns.

- Delivered automated and exploratory testing for agile product teams
- Created API test collections in Postman and Newman with environment-specific secrets handling.
- Established defect taxonomy and root-cause trend reporting to prevent repeated bug classes.
- Ran cross-browser compatibility campaigns for major releases, validating behavior on Chromium, WebKit, and Gecko.

Feature validation and quality reporting — exploratory charters, smoke-test automation, and race-condition debugging.

- Supported feature validation and quality reporting activities
- Authored detailed exploratory charters for checkout and entitlement scenarios with session notes.
- Automated smoke tests for critical user flows and integrated them into pre-merge checks.
- Collaborated with developers to reproduce intermittent race-condition bugs using trace logs and replay tooling.

Education

Bachelor's-level training in information technology at Florida State University. Completed coursework in Selenium, Cypress, Postman, capstone projects, and collaborative assignments that prepared for professional roles.

QA Engineer

Software Development & IT