Charlie Chen
Machine Learning Engineer at Apple
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolCharlie Chen is a Machine Learning Engineer with a decade of experience building production ML systems across fintech, search, and consumer media at CreditX, Baidu, and Apple. Based in San Jose, he drives cross-team initiatives like Apple Music Anti-fraud and has authored a PySpark/Python anomaly-detection core library used organization-wide. His background blends deep learning, NLP, and large-scale data engineering (Python, Torch, C++, Spark/Hadoop) with hands-on experience improving ad revenue through keyword extraction and recommendation systems. A UC Berkeley EECS master’s graduate with a strong record of translating research-grade models into robust, documented libraries, he is as comfortable designing architecture and coordinating multi-team delivery as he is optimizing low-level C++ components.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Electrical and Electronic, Computer Science (EECS) - Data Science and System, 3.9/4.0, Master's degree, Electrical and Electronic, Computer Science (EECS) - Data Science and System, 3.9/4.0 at UC Berkeley Electrical Engineering & Computer Sciences (EECS)Bachelor of Engineering - BE, Compute Science, Bachelor of Engineering - BE, Compute Science at 香港大学
Chinese, Chinese
Github Skills (58)
speaker9
pytorch9
natural-language-processing9
nlp9
speech-recognition8
diarization8
python8
deep-learning8
dialogue-systems8
bert8
voice-activity-detection8
tensorflow8
machine-learning8
building-blocks8
speech-processing8
Programming languages (4)
Github contributions (5)
caochao39/COMP3235
Apr 2017 - May 2017
Contributions:66 commits in 1 month
Charliechen1/high_performance_genome
Sep 2019 - May 2020
Contributions:55 commits, 82 pushes, 9 branches in 7 months
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