Summary
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.
8 years of coding experience
4 years of employment as a software developer
10th, Social Sciences, A, 10th, Social Sciences, A at Sri Guru Harkrishan Public School
12th, Non-Medical, 12th, Non-Medical at Sri Guru Harkrishan Sr.Sec Public School
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Chitkara University
English, Punjabi, Hindi