Summary
Ruofan Kong is a Principal AI engineer and researcher with 11 years of experience building production-grade reinforcement learning and deep learning systems, currently based in Berkeley. At Microsoft he led core Bonsai platform features and engineering—creating distributed RL engines, an AutoML framework, and a high-performance "Apex-SAC" variant that sped convergence 3x—before driving NL2SQL and Responsible AI efforts for Azure Data and IoT. He blends research and product delivery, decomposing complex control problems into modular skills and shipping end-to-end agents that bridge static, time-series, and semantic data. A founding AI engineer at Bonsai, he has deep hands-on experience with distributed frameworks (Ray, Rllib, TensorFlow) and operationalizing RL at scale. Outside product work, his academic background in robotics and distributed algorithms informs pragmatic solutions that balance theoretical rigor with measurable systems impact.
11 years of coding experience
9 years of employment as a software developer
Bachelor's Degree, Electrical and Electronics Engineering, Bachelor's Degree, Electrical and Electronics Engineering at Nanjing University of Science and Technology
Master of Engineering (M.Eng.), Computer Engineering (Robotics), Master of Engineering (M.Eng.), Computer Engineering (Robotics) at Stevens Institute of Technology
High School, High School at Beijing National Day School
English, Chinese