Suhaas Yerapathi
Quantitative Developer
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSuhaas Yerapathi is a Quantitative Developer with 8 years of engineering experience combining machine learning, signal processing, and software development across finance, academia, and industry. With an M.Eng. from UIUC and ongoing doctoral research at Stevens Institute, he has applied deep learning to multi-robot formation control, indoor flow estimation, and object detection pipelines, including designing novel neural architectures and tuning them for production gains. At Citi he brings this research-driven mindset to quantitative systems, while earlier roles at Signify, Rockwell Collins, and AlgoReturns demonstrate breadth from computer vision to RF simulation and trading algorithms. Comfortable moving models from prototype to production, he blends strong Python/C++ skills with practical data engineering and automation—an approach informed by hands-on research in decentralized learning on robots.
8 years of coding experience
2 years of employment as a software developer
University of Illinois Urbana-Champaign
Github Skills (2)
machine-learning1
bengali1
Programming languages (1)
Github contributions (5)
soosiey/linux_config
Sep 2018 - Apr 2021
Tmux/Vim configuration
Contributions:13 pushes in 2 years 7 months
vimtmuxneovimvim-configurationdotfiles
soosiey/Sparse-Representation-Facial-Recognition
May 2020 - Dec 2021
Contributions:6 pushes, 1 branch, 2 comments in 1 year 7 months
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