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About

I’m a software builder focused on AI-assisted development and practical agent systems. I care about shipping reliable features, improving developer experience, and turning research into workflows teams can use today.

What I do

  • Design agentic workflows for real apps (retrieval, tool use, evaluation)
  • Bridge product and engineering to move from prototype to production
  • Share practical patterns for GitHub Copilot, RAG, LangChain, and data choices
  • Advocate human-in-the-loop systems that are observable, testable, and safe

Principles

  • Start simple, measure, iterate
  • Humans stay in the loop
  • Shipping > demos
  • Privacy and security by default

Currently exploring

  • Agents for production developer workflows and CI
  • Copilot-native team practices and code review
  • Evaluation harnesses, datasets, and telemetry for AI quality

A bit more

  • I write playbooks to operationalize LLMs: prompts → tools → evals → shipping.
  • I prefer boring, composable systems that scale with observability and tests.
  • I care about clear docs and small feedback loops more than shiny demos.

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