Senior Software Architect & AI Infrastructure Engineer

I build agentic AI applications and the production infrastructure behind them. With 20 years of experience in distributed systems, backend platforms, and cloud infrastructure, I take AI systems from initial architecture to full-scale production.

Core Focus Areas
Agentic AI & LLM Applications: Multi-agent systems, LangChain/LangGraph, tool calling, MCP/A2A integrations, memory/context, and human-in-the-loop workflows.
RAG & Data Systems: Document ingestion, vector search (PostgreSQL/pgvector), retrieval pipelines, Redis, MongoDB, and Neo4j.
Distributed Platforms: Event-driven architecture, Kafka, NATS, and managing 35+ production microservices.
Cloud & DevOps: Kubernetes, Docker, Terraform, CI/CD, AWS, GCP, and Azure with full observability (Prometheus/Grafana).

Technical Expertise & Recent Work
I work hands-on with Python, FastAPI, Go, TypeScript, Node.js, Ruby on Rails, and React. Recent projects include a shared operating layer for AI agents, a multi-model LLM gateway, and real-time voice AI using WebRTC, STT, and TTS.
I am strongest where complex business processes must become reliable, secure, and maintainable AI applications.