Arjun Gupte is a Purdue computer engineering senior focused on AI/ML and computer systems, with hands-on experience bridging robotics research and applied engineering at NVIDIA. He leads a team building LLM-driven software optimizers that use hardware energy telemetry to reduce power in mobile and data-center applications, and is first/second author on recent submissions to IEEE RAS ICRA and ICSE. At Purdue’s SMART Lab he designs LLM and RL hybrids for initial task allocation in multi-human, multi-robot teams and built a photorealistic ROS2/Webots simulation to validate approaches against RL baselines. Comfortable in both research and production contexts, he has shipped deep learning models for aerial perception, taught AI coursework, and co-founded an Arduino club to teach embedded systems. Based in Pleasanton, CA, he combines a 4.0 GPA with an uncommon focus on energy-aware software optimization across physical AI systems.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science, Computer Engineering, 4.0/4.0, Bachelor of Science, Computer Engineering, 4.0/4.0 at Purdue University
High School Diploma with High Honors, 3.99/4.00 Unweighted GPA; 4.83/5.00 Weighted GPA, High School Diploma with High Honors, 3.99/4.00 Unweighted GPA; 4.83/5.00 Weighted GPA at BASIS Independent Silicon Valley
The goal of this repository is to introduce a new, customizable, scalable, and fully opensource mobile robot platform, called SMARTmBOT. This repository provides a guide, and all design files and source codes so that you can build your own SMARTmBOT. SMARTmBOT can be useful for studying the basics of robotics, especially mobile robotics. It can also be used to study advanced topics such as swarm robotics.
Contributions:28 commits, 27 pushes, 1 branch in 9 days
Contributions:4 commits, 1 push, 1 branch in 6 months
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