Andrew Zhang
Quant at Chicago Based Trading Firm
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
Stackoverflow
41reputation
2kreached
1answer
2questions
Github Skills (56)
ssh10
acme-server10
security10
x50910
certificate-authority10
pki10
webserver10
ca10
acme9
php9
mobile9
go9
jupyter-notebook9
serverless9
shell9
Programming languages (9)
Github contributions (5)
andrewmzhang/andrewmzhang-2021
May 2023 - Jul 2025
Contributions:12 PRs, 40 pushes, 15 branches in 2 years 1 month
andrewmzhang/cirrus-1
Jun 2018 - Mar 2019
Serverless ML Framework
Contributions:6 PRs, 262 pushes, 50 branches in 9 months
serverlessaws-lambdaml-frameworkmachine-learningmlops
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