Yubin Kim is an applied AI/ML leader and founder with 12+ years of industry experience and a PhD from Carnegie Mellon, currently serving as Co-Founder & Chief Science Officer at Vody where he builds multimodal LLMs to enrich e-commerce product data. He has a proven track record leading cross-functional teams and shipping large-scale retrieval and recommendation systems that drove tens of millions in revenue at Etsy and delivered high-impact clinical search products at UPMC Enterprises. Deeply rooted in research, Yubin combines conference-accepted publications and advanced IR/NLP expertise with pragmatic engineering—having optimized web-scale selective search and developed production-grade search engines over hundreds of millions of documents. He mentors and hires technical teams, doubles experimentation velocity through improved tooling and metrics, and teaches LLM methods as an adjunct instructor. A self-described "search science geek" and management nerd, he uniquely bridges academic rigor and product-focused delivery to turn generative AI into measurable business value.
12 years of coding experience
14 years of employment as a software developer
PhD, Language Technologies Institute, Computer Science, PhD, Language Technologies Institute, Computer Science at Carnegie Mellon University
Bachelor of Software Engineering, Software Engineering, Bachelor of Software Engineering, Software Engineering at University of Waterloo
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