Summary
Gowtham Kuntumalla is a quantitative research analyst based in Dallas with 10 years of engineering and research experience designing algorithmic trading strategies and production software. He builds end-to-end systems—from ML-driven signals and data pipelines to risk controls and trading operations—using Python, GCP, Airflow and pragmatic tooling to keep live strategies running. His background blends mechanical engineering and computational research (IIT Bombay, UIUC) with hands-on embedded and simulation work at Uber and satellite/HPC projects, giving him a strong applied-maths and systems perspective. Comfortable shipping both prototypes and hardened backends, he treats messy real-world data and operational risk as core product problems rather than afterthoughts. Colleagues rely on him to bridge quantitative research, software engineering, and day-to-day trading execution.
10 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Bombay
Master of Science (M.S.), Mechanical Engineering, Master of Science (M.S.), Mechanical Engineering at University of Illinois Urbana-Champaign
Hindi, Telugu, English