Sahib Singh is a Georgia Tech computer science student and incoming intern at Balyasny Asset Management with eight years of engineering experience spanning startups, finance, and enterprise. He focuses on time-series forecasting and generative AI applied to quantitative finance, pairing academic research in deep RL and physics-informed neural nets with hands-on portfolio rebalancing work on cluster compute. Sahib has co-founded an asset management startup, helped spin out an RL fine-tuning venture from DeepMind talent, and interned at Amazon and UPS, demonstrating a blend of product-minded engineering and research rigor. He also brings mobile engineering chops from his GitHub presence and a track record of building early-stage ventures, including a high-valued AI budgeting startup supported by Xartup credits. A Schmidt Futures Rise Global Winner, Sahib combines competitive STEM recognition with practical experience shipping systems and modeling financial signals. He thrives at the intersection of startup-building and quantitative research, often translating theoretical models into deployable trading tools.
9 years of coding experience
3 years of employment as a software developer
metric pass Engineering Physics/Applied Physics, metric pass Engineering Physics/Applied Physics at The Srijan School
Bachelor’s Computer Science, Bachelor’s Computer Science at Georgia Institute of Technology
make-responsive-ninja-in-pajamas created by GitHub Classroom
Contributions:2 PRs in 7 years 7 months
reactgithub-classroomcssjavascriptreactjs
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.