As a freelance AI Engineer, I design and build production-oriented GenAI applications from problem definition through backend implementation, evaluation, deployment, and monitoring. I use structured outputs, retrieval, and API integrations to build LLM workflows.
I built an event-driven AI assistant that processes email events through webhooks, FastAPI, PostgreSQL, Celery, and Redis. Its classification workflow routes emails into five business categories and returns schema-validated results with confidence scores.
For the assistant, I also implemented semantic search over meeting transcripts using PostgreSQL and pgvector, and instrumented the pipeline with Langfuse and OpenTelemetry. I deployed it with Docker and Caddy and secured its webhooks with HMAC verification.
Earlier, I built machine-learning workflows and responsive web applications as a freelance practitioner and developer. My Datalumina Certified: AI Engineer Expert credential validates my production AI engineering specialization.
