Haoran Fei
Algo Developer at Hudson River Trading
Jersey City, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolHaoran Fei is an Algo Developer at Hudson River Trading with nine years of experience building data-driven systems at the intersection of quantitative modeling, trading, and machine learning. A Carnegie Mellon computer science graduate with a machine learning minor, he bridges research and production—teaching a PhD-level deep reinforcement learning course while shipping detection and ETL platforms at Google and GE. His background spans time-series and anomaly detection, unsupervised and deep learning (Autoencoders, LSTM), and cloud/big-data pipelines on Hadoop/Spark, applied to fraud detection, risk control, and trading signals. Known for turning academic ideas into operational tools, he has integrated predictive rules into open-source tooling to reduce moderation effort and designed secure data-network proofs of concept for legacy systems. Based in Jersey City, he balances rigorous technical work with quieter pursuits like gardening, reflecting an analytical yet grounded approach to problem solving.
9 years of coding experience
1 year of employment as a software developer
学士, 计算机科学, 学士, 计算机科学 at 美国卡内基梅隆大学
Chinese, English, Spanish
Github Skills (4)
spanish3
ats2
wikipedia2
mls2
Programming languages (3)
Github contributions (5)
HaoranFei/wikiloop-doublecheck
Jul 2020 - Aug 2020
WikiLoop Battlefield: fight vandalism on Wikipedia together
Contributions:10 PRs, 19 pushes, 10 branches in 23 days
wikiloopwikiloop-battlefieldbattlefieldmlsfight-vandalism
HaoranFei/FusionSkye-UEBA
May 2018 - Aug 2018
Contributions:31 pushes, 3 branches in 2 months
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