🤖 Builds agents that reason, retrieve, and use tools.
🕸️ Enjoys connecting language models with knowledge graphs.
☁️ Likes taking AI beyond notebooks into cloud-native services.
🐍 Reaches for Python; appreciates Go when systems need sharp edges.
🧩 Cares about grounding, observability, and human control.
🌱 Believes open source is one of the best ways to learn in public.
- 🧠 Agentic AI and multi-agent workflows
- 🔎 Hybrid RAG and GraphRAG
- 🕸️ Knowledge graphs and graph agents
- 🔌 MCP-based AI tooling
- 👁️ Multimodal document intelligence
- 🧪 LLM evaluation, tracing, and human-in-the-loop systems
- ☁️ Cloud-native AI services
- 🐍 Languages: Python, Go, JavaScript, TypeScript, SQL, Bash
- 🤖 Agentic AI & models: LangGraph, LangChain, OpenAI, Claude, Azure AI Foundry, Hugging Face
- 🕸️ Retrieval, graphs & data: Hybrid RAG, GraphRAG, FAISS, Neo4j, PostgreSQL, Redis, Databricks
- 🚀 Backend & AI apps: FastAPI, FastMCP, Pydantic, REST APIs, Streamlit
- ☁️ Cloud & platform: AWS, Azure, Docker, Kubernetes, Knative, GitHub Actions, Git, Linux
I use GitHub as a workshop: experiments, open-source contributions, tools, and ideas in motion.
If you're building thoughtful AI systems, graph-powered tools, or useful open source, say hello.