Yu Yang is an LLM algorithm researcher with a decade of experience applying reinforcement learning and deep learning across leading Chinese tech firms. Currently at Meituan and a graduate student at Tsinghua Shenzhen, he bridges cutting-edge research and product-focused algorithm engineering. His background includes RL-driven e-commerce solutions at Alibaba, robotics-focused RL research at Tencent, and deep learning framework development in C++/CUDA at SenseTime. Consistently operating at the intersection of research and production, he brings strong engineering rigor (MEng in AI, GPA 3.78) and a practical bias toward deployable models. Based in Beijing's Chaoyang District, he combines academic depth with hands-on implementation experience that speeds innovation from prototype to service.
10 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng, Artificial Intelligence, overall GPA 3.78, Master of Engineering - MEng, Artificial Intelligence, overall GPA 3.78 at 清华大学
Bachelor of Engineering - BE, Computer Science, overall GPA 3.82, Bachelor of Engineering - BE, Computer Science, overall GPA 3.82 at 北京交通大学
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