Jinlong Hou is a senior technology director with 10+ years building large-scale AI platforms and teams, currently leading a 150+ person AI platform organization at bilibili to operationalize AIGC, LLMs, content understanding and creator tools. He has deep hands-on expertise in large-scale training, model compression, inference optimization and ML platform engineering from leadership roles at Tencent, Ant Financial, Pinduoduo and Intel. His work spans CV, NLP, speech and recommender scenarios, delivering production systems for content creation, moderation, recommendation and advertising at internet scale. Notably he helped open-source high-impact tooling at Tencent (PocketFlow) and set multiple large-model training records through systems and algorithm co-design. Trained in computer architecture (Shanghai Jiao Tong University), he blends low-level performance optimization with product-facing AI applications. Based in Shanghai, he is actively recruiting AI algorithm and engineering talent while prioritizing internal platform growth over external moves.
10 years of coding experience
7 years of employment as a software developer
Bachelor Electrical & Information Engineering, Bachelor Electrical & Information Engineering at Huazhong University of Science and Technology
Master Computer Architecture, Master Computer Architecture at Shanghai Jiao Tong University
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Contributions:1 commit, 1 PR, 1 push in 1 day
pytorchsmallerdevelopingdeep-learningcompression
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