cjw
Summary
👤
SeniorJu-chiang Wang is a Research Scientist and Tech Lead based in California with a Ph.D. in Electrical and Computer Engineering and nine years of industry experience bridging music research and production-grade AI. He has led deployment of 20+ deep learning models into products like TikTok, CapCut, and Ripple, and co-developed award-winning audio separation models (Mel-RoFormer/BS-RoFormer) that won the Sound Demixing Challenge 2023 and power voice separation features in major apps. His work applies advanced Transformer architectures to music information retrieval tasks—achieving state-of-the-art results in transcription, event detection, and music generation—while also contributing to recommendation, auto-tagging, and mashup/remix systems. Proficient in Python and C++ with a strong algorithmic foundation, he has published 50+ papers and consistently moved research into scalable product features. Less obvious: he blends academic rigor with product-first engineering, acting as the point of contact to shepherd research prototypes through full deployment at scale.
9 years of coding experience
Github Skills (200)
parser10
lexer10
python10
olap10
hashtable10
extensible10
embedded10
cpp10
cloud-native10
rust-lang10
sql-query10
non-blocking10
async10
io-uring10
big-data10
Programming languages (11)
Github contributions (5)
cjwcommuny/MiniSQL
May 2019 - Jul 2019
Contributions:67 commits, 1 push in 1 month
ZJU-CPP-SUMMER-TERM/project
Jul 2018 - Jul 2018
Contributions:9 releases, 150 pushes, 4 branches in 12 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.