I build production-grade AI systems — not demos. Every project ships with authenticated APIs, observable infrastructure, Azure Bicep IaC, CI/CD pipelines, and documentation designed for client handoff.
→ View full portfolio with screenshots and briefs
LLM Observability ████████████████████ monitoring · eval · alerting · cost tracking
Enterprise RAG ████████████████████ retrieval · access control · citations · eval
Document Intelligence ████████████████████ extraction · validation · review · audit trail
Multi-Agent Systems ████████████████████ LangGraph · MCP · A2A · human-in-the-loop
Azure Infrastructure ████████████████████ Container Apps · Key Vault · AI Search · Bicep
Every project I deliver meets this baseline — not as a checklist, but as a starting point:
- Auth — JWT, API keys, OIDC, Azure Entra ID
- Observability — Prometheus metrics, Application Insights, structured JSON logs, Langfuse LLMOps tracing
- Infrastructure — Azure Bicep IaC, Container Apps, Key Vault, Managed Identity, no hardcoded secrets
- CI/CD — GitHub Actions: lint → test → build → deploy-staging → deploy-prod with manual gate
- Data — PostgreSQL with Alembic migrations, role-based access, audit logging
- Testing — pytest, integration tests, golden eval datasets per project
Available for fixed-scope delivery, custom implementation, and Azure deployment engagements.
Source code available under NDA. Live demo using your sample data available on request.
Azure AI Engineer · LLMOps · MLOps · RAG · Multi-Agent Systems · Document Intelligence · FastAPI · LangGraph · Python


