Han Wang
Fractional at HW Tech Consulting LLC
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolHan Wang is a software engineer with 11 years of experience building machine learning and modeling infrastructure for large-scale systems, currently focusing on abuse detection for YouTube at Google. He combines deep academic training (Ph.D. in EECS from UC Irvine) with hands-on expertise in Java, C/C++, Python, Hadoop ecosystem tools, and production Unix environments. Prior roles include developing ad campaign and user behavior models at Rocket Fuel and Quantcast, where he built MapReduce-based pipelines and feature selection systems using Mahout. His research background in invariant object recognition and early work on particle swarm optimization give him a strong foundation in both machine vision and information retrieval. Based in San Jose, he blends research rigor with production-grade engineering and maintains a compact open-source presence under the handle DaHoopster.
11 years of coding experience
19 years of employment as a software developer
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Imperial College LondonA-Level, A-Level at Wrekin College, Wellington, Shropshire, UK
English, Chinese
Github Skills (83)
hydrogen8
chrome8
nodejs8
puppeteer8
docker-run7
websocket7
soundcard7
devtools7
firefox7
docker7
chrome-extension7
gsm6
portaudio6
queue6
audio6
Programming languages (5)
Github contributions (5)
Soldsie/heroku-buildpack-turbo-sprockets
Feb 2015 - Feb 2015
Contributions:51 releases, 53 commits, 53 pushes in 8 days
herokucedarbuildpackruby
BinaryStorms/iost-sdk
Jan 2019 - May 2019
SDK for IOST Blockchain
Contributions:16 commits, 16 PRs, 59 pushes in 4 months
iostblockchainsdk
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