Andrew Zhang
Quant at Berkeley RISE Lab
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolAndrew Zhang is a quant engineer with 11 years of experience applying machine learning and distributed systems to trading and research problems, currently building models at a Chicago trading firm. A UC Berkeley computer science graduate (3.95 GPA), he has strong hands-on experience with serverless ML platforms, co-authoring papers from work on Cirrus that sped convergence on large datasets and leveraged AWS Lambdas for low-cost hyperparameter search. His internships at Citadel Securities yielded practical market-making and P&L prediction improvements, blending academic rigor with production-facing quant strategies. He has taught large undergraduate courses in machine learning and probability, demonstrating an ability to communicate complex ideas clearly. Notably, he implemented scalable model sharding and a Plotly Dash UI for experiment control—skills that bridge research, tooling, and deployment. Based in Chicago, he combines research pedigree with pragmatic trading experience to deliver performant, scalable solutions.
11 years of coding experience
1 year of employment as a software developer
5th yr Master's Degree | Bachelor's degree, Computer Science, 3.95, 5th yr Master's Degree | Bachelor's degree, Computer Science, 3.95 at University of California, Berkeley
Github Skills (65)
security10
docker-container10
ca10
ssh10
control-panel10
x50910
httpd10
acme-server10
pki10
authority10
certificate-authority10
letsencrypt9
linux9
acme9
shell9
Programming languages (6)
Github contributions (5)
andrewmzhang/cirrus-1
Jun 2018 - Mar 2019
Serverless ML Framework
Contributions:6 PRs, 262 pushes, 50 branches in 9 months
serverlessaws-lambdaml-frameworkmachine-learningmlops
andrewmzhang/mysite_backup
Jan 2017 - Dec 2018
Contributions:2 PRs, 42 pushes, 3 branches in 1 year 10 months
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