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Kaicheng Zhou

Feel free to ask for referral! Referral code: QHT3URT. Machine Learning Research Engineer at TikTok

Kaicheng Zhou is a skilled professional with a passion for combining human nature insights with cutting-edge intelligent systems in product development. With over 2 years of experience, Kaicheng excels in optimizing machine learning system performance using advanced techniques such as neural architecture search, model compression including quantization and distillation, as well as parallel computing.

He has a strong technical background in AI algorithms, covering statistical learning, sensor fusion systems, and deep learning. Additionally, Kaicheng has expertise in AI system engineering, GPU parallel and distributed computing, ETL pipeline acceleration, model compression, and full-stack development.

His educational achievements include a Master of Engineering (MEng) with a focus on Operations Research and Machine Learning from the University of California, Berkeley, and a Bachelor's degree in Supply Chain Management with a specialization in Machine Learning from The Chinese University of Hong Kong, Shenzhen.

Kaicheng Zhou has held significant roles in various organizations, having worked as a Research Engineer at TikTok, a Research Assistant at Berkeley Artificial Intelligence Research, a Machine Learning Engineer at terrafuse, a Machine Learning Intern at Tencent, and as a Co-Founder at KACHA Technology Co. His diverse experience has contributed to his expertise in deploying large-scale high-performance machine learning systems.

Kaicheng Zhou
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Location

San Francisco Bay Area