Founding member building production-grade AI hiring systems that drive real decisions.

Founding member owning both system delivery and early go-to-market execution as Humancloud evolved from bespoke client work into repeatable, production-grade offerings across AI, legal, fintech, and compliance-heavy domains.

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.

Led hands-on GCP, Docker, and Kubernetes workshops for 2,500+ students, focused on deploying and scaling ML systems.