Han Yan
Summary
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SeniorYan Han is a Machine Learning Engineer II based in San Francisco with eight years of engineering experience and three years focused specifically on production ML across NLP, LLMs, and signal processing. He has a track record of turning research into measurable product impact—reducing DNA sequencing error rates by up to 25% with novel CNN/LSTM work and delivering an OCR+LLM pipeline that achieved 97% accuracy while cutting manual review by 20%. Comfortable across the ML stack, Yan has shipped end-to-end systems from model architecture and labeling optimization to cross-functional deployment in fast-paced startups. His background spans electrical engineering and computer science (UCLA, UIUC), which informs a strength for bridging hardware-proximal signal problems with modern deep learning approaches. Colleagues lean on him for rigorous experimentation and pragmatic solutions that unlock performance leaps rather than incremental gains.
8 years of coding experience
Github Skills (8)
translator6
reverse-engineering5
hook5
ocr5
clipboard4
translate4
python4
translation4
Programming languages (1)
Github contributions (5)
yhaddint/mmw_WB_tracking
Jan 2018 - Jun 2018
Contributions:77 commits, 2 pushes, 1 branch in 4 months
yhaddint/blocker_tagging
Jan 2018 - Aug 2019
Contributions:109 commits in 1 year 6 months
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