Senyu Tong is an experienced AI and machine learning professional with a strong background in software engineering and research. At SambaNova Systems from August 2022 to February 2024, Senyu focused on LLM auto compilation, performance optimization, and graph compilation techniques including tiling, mapping, and sharding. Prior to this, Senyu worked as a research assistant at the Machine Learning Department at CMU, engaging in distributed machine learning and model compression projects, and also served as a teaching assistant for advanced courses. Subsequent roles include Senior Machine Learning Engineer at Apple, where Senyu contributed to foundation model development using various kernel technologies, and currently serves as an AI Engineer at Meta, specializing in multi-modal systems. Educational qualifications include a Bachelor of Science in Mathematics and Computer Science and a Master’s degree in Machine Learning from Carnegie Mellon University.
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