I'm an AI Engineer building production-ready generative AI and agentic systems.
I focus on building AI that does actual work: retrieving context, using tools, coordinating workflows, and executing code safely. I care just as much about the engineering around the model—clear APIs, resilient integrations, and system reliability—as I do about the models themselves.
- AI & Agents: LangGraph, Model Context Protocol (MCP), tool calling, human-in-the-loop workflows
- Retrieval & Search: RAG, Chroma, FAISS, Oracle AI Vector Search
- Backend & Data: Python, TypeScript, FastAPI, PostgreSQL, SQLite, WebSockets
- Models & Voice: LLM APIs, Ollama, Hugging Face, Whisper, Edge-TTS, scikit-learn
- Infra: Docker, Git, REST APIs, webhooks
I design workflows with reliability in mind. That means isolated execution environments, explicit approval gates for external actions, deterministic calculations where accuracy matters, and proper error and rate-limit handling for production APIs.

