Yuxiang Dai is a software engineer with a decade of experience building production-grade systems that power large-scale AI products and ML-adjacent workflows. Currently at Symbolica AI, he designs and operates platform infrastructure for typed, multi-agent AI systems, focusing on secure execution, observability, and reliable deployment of agentic workloads. Previously he shipped backend and full-stack features for a generative AI product used by over 1M users at Ideogram and led internal forecasting platforms at Amazon that processed hundreds of millions of entities daily for ~12,000 internal users. He prefers end-to-end ownership, working close to production to bridge engineering, product, and research, and has a track record of turning experimental models into safely rolled-out features. Based in San Francisco and educated in Engineering Science at the University of Toronto, he brings a pragmatic mix of distributed systems, backend services, and product-driven ML productionization.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Applied Science - BASc Engineering Science, Bachelor of Applied Science - BASc Engineering Science at University of Toronto
Multiplayer Server Snake built for MHacks 8 (Closed)
Contributions:2 PRs, 93 pushes, 2 branches in 2 years 8 months
gameclosedsnakemultiplayer-servermultiplayer
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