Los Angeles, California, United States
Owned the design and delivery of internal data and ML-facing tools used by research and operations teams.
Took end-to-end ownership of a Next.js and Node.js dashboard to make ML decision trees interpretable for non-technical stakeholders, improving clarity and review confidence by ~40%
Re-architected a fragile manual ingestion process into an automated pipeline (SFTP → SQS → S3), increasing throughput 4× and removing daily operational intervention
Built and deployed FastAPI services with production-grade health checks, error handling, and observability, reducing API latency by ~30%
Worked directly with researchers and admins to translate vague requirements into shippable systems, balancing speed, reliability, and maintainability
The role went beyond implementation. I was trusted to make technical tradeoffs, unblock workflows, and leave systems in a better state than I found them.