Shravan Ravi
Quantitative Researcher
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolShravan Ravi is a quantitative researcher and Turing Scholar at UT Austin with eight years of engineering experience building high-performance research and trading infrastructure. He combines full-stack software skills in Java, C/C++, Python, and JavaScript with applied machine learning expertise—spanning CNNs, LSTMs, and deep RL in PyTorch and TensorFlow—to develop and validate simulation-driven HFT strategies. At Citadel Securities he moved from intern to quantitative researcher working on equities and futures strategy development, simulation, and QA behavior validation, after internships at Optiver and Tableau focused on research infrastructure and analytics. Comfortable across ROS robotics, backend services (Django/Flask/Firebase), and front-end React, he brings a rare blend of low-latency systems thinking and ML modeling. Colleagues describe him as a pragmatic researcher who translates complex microstructure insights into production-ready tooling.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree Computer Science Turing Scholar, Bachelor's degree Computer Science Turing Scholar at The University of Texas at Austin
English, Tamil, Spanish
Github Skills (6)
python2
robot1
graph1
robotics1
planning1
carrot1
Programming languages (2)
Github contributions (5)
ShravanRavi2002/personal-portfolio
Aug 2021 - Dec 2023
Contributions:82 pushes, 3 branches in 2 years 4 months
ShravanRavi2002/BARNSubmission
May 2022 - May 2022
Contributions:6 commits, 6 pushes, 1 branch in 24 days
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