Summary
Seungyeon Kim is a Senior Staff Research Scientist with a decade of experience advancing large-scale ML and research engineering, currently leading Gemini Thinking at Google DeepMind. Their trajectory includes senior research roles across Google, DeepMind, and Meta, reflecting deep expertise in bridging cutting-edge research with production-grade systems. Trained with a PhD from Georgia Tech and early research roots at Seoul National University, Seungyeon blends rigorous academic grounding with practical ML systems engineering. They have progressed from research assistant and intern roles to technical leadership, evidencing strong mentorship and cross-disciplinary collaboration. Notably, Seungyeon moves fluidly between research scientist and engineering leadership roles, a sign of rare fluency in both algorithmic innovation and scalable implementation. Based in the United States, they focus on high-impact model thinking and deployment challenges at the frontier of AI.
10 years of coding experience
16 years of employment as a software developer
Bachlor, Computer Science and Engineering, Bachlor, Computer Science and Engineering at Seoul National University
PhD, Computer Science, PhD, Computer Science at Georgia Institute of Technology
Exchange Program, Exchange Program at Stanford University