Yan聽Han
Machine Learning Engineer II at Rokt
San Francisco, California, United States
Summary
馃懁
Senior馃帗
Top SchoolYan 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鈥攔educing 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
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Illinois Urbana-ChampaignUniversity of California, Los Angeles
Chinese, EnglishGithub contributions (4)
yhaddint/MillimeterWaveCSIA
Apr 2018 - Jun 2019
Contributions:77 commits, 7 pushes in 1 year 2 months
yhaddint/mmw_WB_tracking
Jan 2018 - Jun 2018
Contributions:77 commits, 2 pushes, 1 branch in 4 months
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