Vedant Pathak

Quantitative Developer

Chicago, Illinois, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Vedant Pathak is a Quantitative Developer at Citadel with nine years of experience applying machine learning, NLP, and data science to research-driven trading and production systems. A UChicago mathematician who began building software in high school, he bridges rigorous math with practical engineering—from improving ConceptNet and adding emoji support in an established open-source knowledge graph to shipping ML models in a quantitative finance environment. His background includes internships and research roles at Luminoso, WorldQuant, and academic REUs, reflecting a consistent focus on NLP and deep learning. Based in Chicago, he combines back-end development chops with research instincts, often translating novel NLP research into robust tools used beyond academia.
code9 years of coding experience
job1 year of employment as a software developer
bookLatin School of Chicago
bookBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Chicago
github-logo-circle

Github Skills (9)

command-line10
command-line-interface10
python10
cli10
data-processing9
data-parsing9
data-transformation9
xml-parsing8
msgpack7

Programming languages (3)

JavaScriptRoffPython

Github contributions (5)

github-logo-circle
commonsense/conceptnet5

Jun 2017 - Oct 2017

Code for building ConceptNet from raw data.
Role in this project:
userBack-end Developer
Contributions:18 commits, 17 PRs, 28 pushes in 4 months
Contributions summary:Vedant primarily focused on enhancing the codebase for building ConceptNet, a knowledge graph. Their work includes standardizing command-line interfaces for various readers, as evidenced by changes in `conceptnet5/builders` and `conceptnet5/readers/cli.py`. Furthermore, they implemented emoji support by creating a new reader to import emoji data and modifying the command line interface. Lastly, they made several formatting adjustments and added OrderedSet functionality for improved data handling.
pytorchraw-datadeep-learningsemanticsnatural-language-processing
latincsclub/Latin-Cafe

Oct 2017 - May 2018

Contributions:15 PRs, 25 pushes, 1 branch in 6 months
pythonflask-appflasklatincafe
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.
Request Free Trial
Vedant Pathak - Quantitative Developer