Summary
Yixing Wang is an AI Engineer II at Electronic Arts with a decade of experience building ML-driven systems, data pipelines, and infrastructure for recommendation teams. He holds an M.S. in Electrical Engineering from Columbia with a focus on data-driven computation and a B.S. in Mechanical Engineering from Shanghai Jiao Tong University, where he also served as faculty and research assistant on IoT, crowdsourcing, and RL projects. His work spans deep learning target detection, both value- and policy-based reinforcement learning, and practical ML engineering—he built an adversarial RL system that improved game-level generation and boosted agent performance 40% above rule-based baselines. Comfortable in Python and C/C++ and fluent with PyTorch, TensorFlow, PyCuda and OpenCV, he combines research rigor with production-minded automation. Notably, he has applied Double Q-learning to scale wireless sensor network optimization, achieving substantial efficiency and convergence improvements.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at Columbia University in the City of New York
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Shanghai Jiao Tong University
Chinese, English