Rahul Moorthy
Graduate Teaching Assistant
Minneapolis, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolRahul Moorthy is a CS PhD candidate and machine learning engineer specializing in graph representation learning for robotics, with eight years of experience spanning academic research and industry applications. At the University of Minnesota he develops generative and attention-based models—producing polygon samplers that respect 93% of visibility constraints and achieving state-of-the-art wheat stem rust identification at 91%—while also teaching and mentoring undergraduates. His industry work includes building monocular depth and navigation stacks for drones, an efficient real-time face training pipeline, and a low-latency open-domain QA model, demonstrating a practical focus on deployable systems. Rahul blends strong signal-processing and optimization background with hands-on ROS and middleware engineering to connect research prototypes to fielded robotic platforms. Known for tackling geometry-aware generative problems and explainable vision in agriculture, he enjoys turning theoretical ideas into measurable on-field performance. Based in Minneapolis, he pairs deep research rigor with pragmatic system-building skills across ML, robotics, and embedded applications.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of MinnesotaBachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Pune Institute of Computer Technology12th SCIENCE, 12th SCIENCE at GG international School
English, Hindi, Tamil
Github Skills (68)
operations-research9
localization9
optimization9
linear-programming9
scanning9
slam9
combinatorial-optimization9
vehicle-routing-problem8
gurobi8
robotics8
text-to-image8
ros8
simulated-annealing8
constraint-programming8
attention-mechanism7
Programming languages (5)
Github contributions (5)
rahulmoorthy19/E-Kisan-Pasckathon
Feb 2019 - Mar 2019
Contributions:21 commits, 3 pushes in 17 days
monitor-ai/Lykos
Jun 2019 - Jun 2019
An app to get the information about various ML parameters during training on the go!
Contributions:22 commits, 11 PRs, 9 pushes in 14 days
on-the-goparametersmachine-learningtraining
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