Han Cao is an Applied Scientist at Microsoft and a UC San Diego MS candidate in Computer Science with a 4.0 GPA and a strong foundation from Tsinghua University. With nine years of industry experience including a machine learning engineering role at ByteDance, Han has practical strengths in feature engineering, model optimization, and production-ranking systems for advertising and recommendations. He has a track record of speeding data pipelines (3–4x Spark improvements), reducing model input size via NAS-based feature selection, and improving online serving through Redis and streaming training. Comfortable moving projects from feature design to production, Han blends rigorous academic training with hands-on experience in large-scale data and sequential modeling. Based in San Diego, he is seeking ML engineer or software development roles that leverage his expertise in user modeling and scalable ML systems.
9 years of coding experience
1 year of employment as a software developer
University of California, San Diego
Bachelor of Engineering - BE, Electronic Information Science and Technology, 3.86/4.0(15/264), Bachelor of Engineering - BE, Electronic Information Science and Technology, 3.86/4.0(15/264) at Tsinghua University
Contributions:2 PRs, 12 pushes, 1 branch in 1 month
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