Bin Chen
Research Engineer at ByteDance
Milpitas, California, United States
Summary
👤
Senior🎓
Top SchoolBin Chen is a research engineer with a decade of experience building multimodal AI systems at ByteDance, where he applies LLMs, MIR, and CV techniques to ship music-aware features for TikTok and CapCut. He bridges deep technical research and product deployment—publishing in top conferences while integrating SOTA algorithms into production services like music search, recommendation, and soundtrack synchronization. His background includes mobile-focused image signal processing and model compression work at SenseTime, and a USC master's in computer science complemented by a CS degree with a finance minor from ShanghaiTech. Notably, he has translated research prototypes into lightweight APIs and fine-tuned large language models for novel text-to-music applications, demonstrating a strong track record of turning cross-domain research into scalable, real-world features.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Major in Computer Science and Minor in Finance, Bachelor's degree, Major in Computer Science and Minor in Finance at ShanghaiTech UniversityMaster's degree, computer sciense, Master's degree, computer sciense at 美国南加州大学
Github Skills (14)
mnist10
django9
react8
python8
tensorflow7
imagenet7
nextjs7
sentence-embeddings6
claude6
openai6
llm5
information-retrieval5
gpt3
retrieval-augmented-generation3
Programming languages (4)
Github contributions (5)
haibincoder/ToutiaoCrawler
Apr 2017 - Aug 2019
Contributions:34 commits, 31 pushes, 3 branches in 2 years 4 months
haibincoder/NlpSummary
Jun 2020 - Jun 2022
Contributions:59 commits, 52 pushes, 1 branch in 2 years
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