Victor Quach
Algorithm Developer at Hudson River Trading
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolVictor Quach is an algorithm developer and MIT CSAIL-trained PhD with 11 years of experience building ML systems and high-frequency trading strategies. He combines deep NLP and transformer research with practical production work—evidenced by a 16% autograd performance win at Facebook and research on extending transformer generalization at IBM. Now at Hudson River Trading he applies ML and algorithmic expertise to ultra-low-latency quantitative trading. His background spans teaching large online ML courses, contributing to ML education repos, and leading student IT operations, showing a rare mix of research depth, engineering impact, and operational leadership. Fluent in PyTorch and practical model engineering, he especially excels at turning cutting-edge research into robust, scalable code.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Massachusetts Institute of TechnologyMaster's degree Mathematics and Computer Science, Master's degree Mathematics and Computer Science at École PolytechniqueMathematics and Physics, Mathematics and Physics at Lycée Louis-le-Grand
French, English, Vietnamese
Github Skills (11)
machine-learning10
jupyter-notebook10
python10
data-analysis9
pytorch6
scikit-learn6
scikit6
matplotlib5
pandas5
nlp3
computer-vision3
Programming languages (9)
Github contributions (5)
Varal7/ml-tutorial
Feb 2019 - Jun 2019
Introduction to ML packages for the 6.86x course
Role in this project:
Data Scientist
Data ScientistContributions:10 commits, 9 pushes, 1 branch in 3 months
Contributions summary:Victor primarily contributed to a machine learning tutorial repository focused on introducing ML packages. Their commits reveal efforts to correct typos, add links to relevant resources, and modify notebook content. Specifically, the user made changes to a Jupyter notebook file (`Part1.ipynb`), including modifications within the markdown cells and execution outputs. The user also added content to a second notebook file (`Part2.ipynb`).
machine-learningdata-science
Varal7/dotfiles
Jun 2020 - Jan 2023
Contributions:72 commits, 64 pushes in 2 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.