Alex Weiss
Associate Quantitative Researcher
Miami, Florida, United States
Summary
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Rockstar🎓
Top SchoolAlex Weiss is an Associate Quantitative Researcher specializing in volatility trading with a strong engineering background in Rust, C++, Dart, and Python. Based in Miami and educated at the University of Chicago in Mathematics and Economics (MA and BA), he blends rigorous quantitative training with a decade of hands-on technical experience. His work history spans research roles in economics and medicine, machine learning internships, and tutoring math, reflecting an ability to translate complex theory into practical models and code. At Walleye Capital he applies statistical and computational techniques to derivatives markets, building reliable trading tools informed by prior ML and lab research. Alex’s cross-disciplinary experience and early leadership in competitive robotics suggest a knack for fast prototyping and systems thinking that complements his quantitative rigor.
10 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Millburn High SchoolMaster of Arts - MA, Economics, Master of Arts - MA, Economics at University of Chicago
Github Skills (31)
ivy10
pytorch10
python10
translation10
converter10
mxnet10
machine-learning10
abstraction10
numpy10
deep-learning10
tensorflow10
gpu10
neural-network10
jax10
data-science9
Programming languages (3)
Github contributions (5)
roboFiddle/ivy
Jul 2022 - May 2023
The Unified Machine Learning Framework
Contributions:48 pushes, 7 branches in 10 months
pythondata-sciencedeep-learningmachine-learningframework-learning
VEX-4610C/4610C_NBN_Code
Nov 2015 - May 2018
Contributions:3 pushes, 1 branch in 2 years 5 months
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