He Jiang is a software engineer with nine years of experience building and scaling machine learning-driven ad and content systems across major tech companies. His background spans research and production: from LLM training and speech/NLU support at Microsoft to ads ranking, pricing, and marketplace optimization at Grab, Pinterest, and now Netflix. He repeatedly bridges research and engineering, having worked on deep learning tasks such as image colorization, pedestrian detection, and reinforcement learning during internships and academic roles. Based in Shenzhen with an MS in Computer Science from USC and a bachelor's from Peking University, he combines rigorous academic foundations with hands-on experience shipping high-throughput microservices and integrating complex third-party ad ecosystems. Notably, he moves fluidly between infra-level system scaling and model-driven feature work, making him effective at turning ML research into production-grade services.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern California
Bachelor’s Degree Intelligence Science and Technology, Bachelor’s Degree Intelligence Science and Technology at Peking University
Contributions:17 commits, 1 PR, 14 pushes in 2 years 6 months
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