I'm a QA Engineer who builds clean, testable systems and automation that keep software reliable at scale. My work spans test automation frameworks, CI/CD quality gates, and API/data validation — and increasingly AI-powered QA tooling that uses LLMs to automate copy, rendering, and campaign validation that used to be slow and manual.
With a foundation in Python, async services, and CLI development, I turn repetitive, error-prone QA work into fast, dependable automation. I work across the stack a modern QA platform touches: FastAPI/async Python, Docker and ECS, Terraform, Redis/Valkey, and Claude/LLM API integration — and I've shipped and debugged fixes in production. The result is faster releases, fewer production issues, and greater confidence in the systems behind the product.
EXPERIENCE:
QA Engineer (L4) — Instacart | Marketing Enablement & Technology (MET) | Dec 2025 – Present
- Build and maintain an internal QA platform that automates validation of marketing campaigns — copy, links, and email rendering — across the campaign lifecycle.
- Develop AI-powered QA tooling with the Claude API (via an internal AI gateway) to automatically compare design vs. production copy and flag discrepancies, replacing slow manual review.
- Ship full-stack features across an async Python (FastAPI) backend and a React/TypeScript frontend, with mypy/ruff quality gates and CI enforced on every PR.
- Own production reliability work: diagnosing and fixing latency, caching, and integration issues in live services on Docker/ECS with Terraform-managed infrastructure.
- Lead per-user OAuth and secrets-management migrations across third-party integrations (Jira, Figma, Monday, TestRail) for a multi-tenant QA service.
SDET — Coût De La Liberté | Los Angeles, CA | June 2023 – Nov 2025
- Built automated test frameworks in Python (pytest, Selenium) for e-commerce flow testing, cutting customer-facing defects by 30%.
- Created regression test suites for ERP and inventory systems, achieving 100% SKU synchronization between digital and retail platforms.
- Automated API and database validation for supplier and product pipelines, reducing manual QA work by 40%.
- Implemented QA automation within CI/CD (GitHub Actions, Docker), shrinking release validation cycles from 3 days to 8 hours.
- Built performance/load tests that kept the site stable during high-traffic product drops in seasonal campaigns.
QA Engineer — Dumae | Los Angeles, CA | Feb 2020 – May 2023
- Created Python pipelines processing 2,000+ SKUs to validate and clean metadata, resulting in 40% fewer data errors and faster launches.
- Implemented pytest + GitHub Actions in CI/CD workflows, shortening QA cycles by 70% and enabling per-release regression coverage.
- Developed QA reporting tools with pandas/NumPy to strengthen data-quality assessment and defect monitoring.
- Automated REST API test scripts verifying inventory/sales synchronization, eliminating discrepancies between ERP systems and e-commerce platforms.