Summary
Moshi Wei is a Senior Machine Learning Engineer and PhD researcher in Toronto with a decade of experience applying deep learning to source code tasks like code generation, API recommendation, and automated bug repair. He combines academic rigor—publishing work that improved SOTA API recommendation models—with hands-on product delivery, from agentic auditing workflows that cut review time by 82% to consumer-facing generative AI products (TarotGPT, ChatDND, a ChatGPT clone with payments). As a co-founder of ISEK, he built an open-source decentralized agent network and several multi-agent apps, demonstrating a flair for distributed, self-organizing systems. Moshi is data-driven and pragmatic, comfortable moving prototypes into production and automating workflows end-to-end, and he often bridges research and engineering to achieve measurable impact.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Software Engineering, Doctor of Philosophy - PhD Computer Software Engineering at York University
Computer Science Honours Bachelor (Co-op) Computer Science, Computer Science Honours Bachelor (Co-op) Computer Science at University of Ottawa
MASc Research-based Master of science Computer Software Engineering, MASc Research-based Master of science Computer Software Engineering at University of Waterloo
Chinese, English