Charles Nainan
Data Scientist System Engineer
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolCharles Nainan is a Data Scientist and Systems Engineer with a decade of recent experience and a long track record building computational pipelines and rapid prototypes for NASA/JPL and enterprise clients. He brings deep mathematical training (Caltech BS, UIUC MS) to practical engineering, shipping solutions in Python, C/C++, Java/Scala and big-data stacks like Hadoop and Spark. Recently focused on deep learning, he bridges research-grade algorithms and production systems, translating complex data problems into robust, deployable pipelines. Based in Los Angeles, he pairs a systems-minded approach with machine learning rigor, having moved between low-level system software at JPL and applied data science work at Intrasoft. Colleagues value his ability to prototype quickly while maintaining engineering discipline across the full ML lifecycle.
10 years of coding experience
9 years of employment as a software developer
California Institute of TechnologyUniversity of Illinois Urbana-Champaign
Github Skills (11)
transfer-learning10
natural-language-processing9
named-entity-recognition9
nlp9
pytorch9
sklearn9
scikit-learn8
bert8
language-model7
transformers7
transformer7
Programming languages (1)
Github contributions (2)
charles9n/bert-sklearn
Feb 2019 - Aug 2019
a sklearn wrapper for Google's BERT model
Contributions:2 releases, 46 commits, 1 PR in 5 months
nlppytorchlanguage-modelnamed-entity-recognitionner
charles9n/demos
Jul 2015 - Jul 2015
Contributions:2 pushes, 1 branch in 1 day
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