KAO-WEI CHEN · LOS ANGELES

Solving real problems with AI, end to end.

Nearly a decade where engineering meets machine learning — leading teams that ship enterprise LLM products, and building agent frameworks and browser-first AI tools with my own hands.

How I work

AI that earns its keep

Ship LLM products that hold up

Enterprise AI in education and healthcare means "usually right" isn't good enough. I build the evaluation frameworks, ETL pipelines, and responsible-AI scaffolding that turn a promising model into a product people trust.

Pick the AI bets that pay back

Most generative-AI ideas never return their cost. The puzzle I love: finding the ones that do — judged on throughput, unit economics, and real user value, not novelty.

Stay hands-on, end to end

From a Rust-core agent framework to privacy-first browser tools, I never stop building. The sharpest instincts about what AI can do come from shipping with it every week.

Track record

Where I've been

  1. 2020 – Present
    DIA Design GuildCTO / Board AdvisorNonprofit
  2. 2025
    McGraw HillEngineering Manager, AI
  3. 2022 – 2025
    Carnegie LearningEngineering Manager
  4. 2018 – 2022
    Carnegie LearningSenior Software Engineer
  5. 2016 – 2018
    Flipgrid (Microsoft)Software Engineer
Built in the open

Apps & experiments

Tools and apps I've shipped as the main Software Engineer either professionally or as a side quest.

GitHub →