I focus on turning LLM capabilities into dependable software: agentic workflows, tool-enabled reasoning, retrieval-augmented applications, and the backend services that support them.

• 🧠 Interested in practical AI agents that can plan, use tools, retain context, and complete multi-step tasks.
• ⚙️ Building LLM applications with an emphasis on clear system boundaries and reliable backend foundations.
• 🌱 Exploring RAG, tool calling, and multi-agent systems.

An open-source, local-first AI investment research workbench for deep research, evidence-backed investment theses, portfolio-risk analysis, watchlists, and a Pi Agent copilot.

Open-source project; listed here as a hands-on project rather than a claim of original authorship.

I'm open to conversations about AI application and agent engineering roles.

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