Summary
Jianbo Yuan is a principal scientist focusing on AGI and large language model systems with 11 years of experience building and scaling LLMs, MLLMs, code-generation models, and agent platforms. He currently leads core modeling and applied research for the AmazonNova model family and previously architected foundation LLMs, multimodal models, and agent systems at ByteDance. Jianbo combines deep academic training (PhD, MS in computer science/vision) with production-facing expertise in multimodal retrieval, recommendation, and content moderation for consumer products. He has a track record of taking models from pretraining and scaling to real-world search and personalized shopping experiences, and is comfortable bridging research innovation with engineering rigor. Based in Bellevue, WA, he brings a rare blend of foundational research, system-level product impact, and hands-on leadership in next‑generation transformer and diffusion modeling.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Rochester
Bachelor of Engineering (BE) Electrical and Electronics Engineering, Bachelor of Engineering (BE) Electrical and Electronics Engineering at Harbin Institute of Technology