Cheng-i Wang
Deep Learning Engineer at AudioShake
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolCheng-i Wang is a deep learning engineer with 11 years of experience building data-driven audio solutions that scale from research prototypes to production systems. He has led large-scale audio feature extraction and deduplication infrastructures at Smule and now runs deep learning experiments at AudioShake, working routinely with millions of recordings. His background bridges music technology research—publishing in ICASSP and ISMIR and developing the VMO library for machine improvisation—with hands-on engineering in Python, C++, Scala, Kafka and Spark. Notably, he curated the DAMP dataset and explored novel siamese CNN architectures for singing-style embeddings, combining signal-processing rigor with practical pipeline design. Based in Oakland, he brings a rare mix of audio research depth and production-grade software engineering to problems in music AI.
11 years of coding experience
14 years of employment as a software developer
Bachelor of Business Administration (BBA), Finance, General, Bachelor of Business Administration (BBA), Finance, General at National Taiwan UniversityMaster of Music, Music Technology, Master of Music, Music Technology at New York UniversityDoctor of Philosophy (Ph.D.), Computer Music, Doctor of Philosophy (Ph.D.), Computer Music at UCSD
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (63)
mls10
jupyter10
string-matching10
mir10
mocap10
music-information-retrieval10
openframeworks10
kinect10
markov10
bokeh9
evaluation9
javascript9
visualization9
holoviews9
python9
Programming languages (4)
Github contributions (5)
interactiveaudiolab/CAQE
Jul 2016 - Jan 2018
Crowdsourced Audio Quality Evaluation Toolkit
Contributions:99 commits, 2 PRs, 2 comments in 1 year 6 months
mlsevaluationaudiomircrowdsourced
wangsix/zuzor
Jan 2015 - Mar 2015
Contributions:89 pushes, 2 branches in 1 month
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