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Projects

Every project I've built, from flagship AI products to older work, with the problem each one solves and who it's for.

Flagship

  • Outloud screenshot

    A remote MCP server that turns what you tell your coding agent about your work into LinkedIn and X drafts in your voice. Nothing posts until you review it.

  • Conductor screenshot

    A multi-tenant platform that runs AI content pipelines as durable Temporal workflows, with human approval steps, crash recovery and a replayable audit trail.

  • Turns a one-line idea into a reviewable technical blueprint or a working codebase. You watch a team of agents plan the system live and steer them as they go.

    • In progress
  • A QA tool for agents. It checks a user outcome in a real browser and returns a passed, failed or inconclusive verdict with evidence the agent can loop on.

    • In progress

Supporting

  • Helix screenshot

    LLM observability: a small SDK wraps multi-provider inference and streams latency, token and error data through Kafka to TimescaleDB, off the response path.

  • VeritasRAG screenshot

    Upload PDF, DOCX or TXT files and ask questions about them. Answers cite their sources and come from hybrid vector search with Gemini.

Archive

Have a role in mind?

Send me a message on X with the role and a link to the posting. My resume has the rest.