Teo Zosa is a cross-functional, product-focused engineer with 10 years of experience building large-scale AI and ML systems across Japan and the U.S., currently driving multimodal small‑model deployments and agent-native infrastructure at Liquid AI. He has led end-to-end real-time ML platforms at Mercari that served millions of millisecond-latency reads/writes, delivered 30x business impact from search ranking, and engineered systems with five‑nines availability and dramatic cost savings. Comfortable at the intersection of GTM, product, and engineering, Teo designs post-training workflows (SFT, preference alignment), vector/hybrid search, and MLOps/LLMOps practices that accelerate developer velocity by an order of magnitude. His background spans applied research (self-supervised 3D/4D medical imaging) to enterprise integrations, and he regularly fosters developer communities and enterprise partnerships to translate research into production. Based in Tokyo with strong academic roots in cognitive science and computer science, he blends human-centric thinking with production-grade AI engineering.
10 years of coding experience
8 years of employment as a software developer
Computer Science, Computer Science at University of Southern California
University of California, San Diego
California State University, Northridge
Bachelor of Arts (B.A.), Psychology; Minor: Cognitive Science, Bachelor of Arts (B.A.), Psychology; Minor: Cognitive Science at University of California, Los Angeles
Miscellaneous programming challenges for the purpose of personal/professional edification, inspired by Peter Norvig's pytudes repository
Contributions:933 reviews, 400 commits, 139 PRs in 1 year 9 months
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