Summary
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.
8 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
English, Marathi