John Fish is a trader and builder with a decade of experience who leverages software and AI/ML to discover market edges that are overlooked by smarter participants. He combines a Harvard CS background with hands-on product and engineering experience—shipping full-stack features in Node.js/React and building automation at Shopify as an early intern. As a creator, he scaled a YouTube channel to nearly a million subscribers and turned a notebook brand into an Amazon top-three bestseller, showing a knack for turning technical work into audience-facing products. Recently self-employed, he focuses on pragmatic ML tooling for niche market inefficiencies rather than speculative models. John is comfortable across roles from technical product management to video production, and prefers email contact for opportunities. A curious early starter—hired at 16—he blends entrepreneurial risks with disciplined engineering.
10 years of coding experience
3 years of employment as a software developer
Quantum Cryptography, Quantum Cryptography at QCSYS
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Harvard University
Contributions:3 commits, 7 pushes, 1 branch in 8 months
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