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Projects

Public work that is selective by design.

This portfolio is intentionally small. Each project is here because it says something concrete about how AI should be built, used, or explained.

Featured now

ZenInvest

ZenInvest is an open-source AI investing system built to make research, screening, and execution more structured, transparent, and auditable for retail investors operating with human oversight.

Retail investing is constrained by information overload, research time, execution overhead, emotional decision-making, and opaque alternatives. ZenInvest is designed to reduce that burden without pretending that judgment can be outsourced entirely.

PythonFastAPIReactSQLiteMulti-LLMDocker
Why it belongs here
  • Open-source and inspectable rather than locked behind a proprietary black box
  • Human-in-control portfolio decisions with explicit reasoning and risk constraints
  • Designed as a research and product experiment with educational value, not a guaranteed-return machine
Portfolio

Current and upcoming initiatives

Featured work gets narrative depth. Upcoming work stays concise until it is mature enough to justify a richer page.

upcoming Research-led future work

Studio Labs

A selective pipeline of future public projects spanning agentic systems, education, and human-centered AI tools.

  • Curated roadmap rather than filler launch content
  • Room for educational tools, case studies, and product experiments
  • Focused on quality of problem selection rather than volume