Summary
Calvin Chi is a Senior Applied Scientist at Amazon with a decade of experience building production ML systems, now leading development of an external-facing conversational agent for advertising foundational models. He helped launch Amazon Advertising’s first deep learning conversion prediction and pre-ranking models and pioneered the team’s initial bandit-based exploration mechanism in the bidding pipeline. Trained as a computational biologist (PhD, UC Berkeley) and grounded in rigorous experimentation, he combines research-grade modeling with product-focused engineering to deliver scalable, real-world AI. Based in Redmond, he moves fluidly between large-scale systems, online learning, and LLM agent design, bringing a rare mix of academic depth and hands-on commercialization experience.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Computational Biology, Doctor of Philosophy (PhD) Computational Biology at University of California, Berkeley
Bachelor of Science (B.S.) Biochemistry summa cum laude, Bachelor of Science (B.S.) Biochemistry summa cum laude at Case Western Reserve University
English, Chinese