Benjamin Han

About

I lead AI/ML R&D at the intersection of agentic AI, knowledge graphs, continual learning systems, and LLMs, taking ideas from research to production. At Apple, I drive cross-functional efforts across AIML and Services Engineering, building mission-critical agentic systems and streaming knowledge graphs that support efficient, high-quality knowledge acquisition, reasoning, and adaptation over time. Previously, I led the Azure natural language science team at Microsoft, growing service usage by over 300% in two years and launching the first large-scale summarization service among major cloud providers. Earlier at IBM Research, I contributed to advances in information extraction, led award-winning entries in government-sponsored competitions, and transferred research into Watson products. I build teams and systems, from research programs and proofs of concept to robust, efficient production models that meet real-world SLOs. I hire and mentor ICs and tech leads, design evaluation rubrics that raise the quality bar, and enjoy working on problems spanning learning, reasoning, decision-making, and human-centered interaction. I am endlessly curious and enjoy building intelligent systems th

Experience

Education