"If you're doing what everyone else is doing, you're doing it wrong."
Making AI useful in the real world at Multiverse Computing.
The best way to understand something is to build it.
- Contributed to BigCode Evaluation Harness bigcode-project/bigcode-evaluation-harness#317 (PR still open — repo seems inactive)
- Experimented with libraries to simplify deep learning model training (deeplib)
- Built and explored AI agent systems and architectures
- Various side projects focused on practical AI applications and deployment
I’m drawn to books about systems, incentives, and how things actually work beneath the surface.
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Going Infinite — Michael Lewis The SBF story. A cautionary tale about what happens when brilliance meets unchecked ambition.
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Zero to One — Peter Thiel Contrarian thinking about startups. The best ideas often sound wrong at first.
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Flash Boys — Michael Lewis High-frequency trading exposed. Made me rethink how markets actually work.
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Linked — Albert-László Barabási Network science explained beautifully. Changed how I see connections everywhere.
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Build — Tony Fadell Practical wisdom about making things people want.
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Innumeracy — John Allen Paulos Why mathematical illiteracy matters. A short book that sticks with you.
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The Technological Republic — Alex Karp A perspective on AI, power, and the future of governments.



