Dhruv Chaudhari is a computer scientist and Georgia Tech undergraduate with nine years of software experience building embedded systems, ML models, and full-stack applications. He has delivered high-impact work for the U.S. Air Force—implementing core C++ modules for electronic warfare systems, improving team productivity with a modular routing framework, and optimizing legacy hardware compatibility to avoid obsolescence. In research roles he trained and deployed large-scale object detection models on NVIDIA H100 clusters and integrated diverse datasets to boost training efficiency and throughput. He also co-developed an Anki-inspired spaced repetition system, owning backend scheduling logic, APIs, and a scalable MySQL schema. Comfortable across low-level embedded development and modern ML stacks, Dhruv combines a practical systems mindset with data-driven experimentation. He is actively seeking research or internship opportunities where he can pair hands-on engineering with mentorship and deeper domain impact.
9 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Georgia Institute of Technology
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Georgia State University
High School Diploma, High School Diploma at Brookwood High School
Code for generating Smart Cloze and Traditional Cloze (fill in the blank) readability tests AND repository of human-written comprehension questions. Cite: https://drum.lib.umd.edu/handle/1903/21456
Contributions:5 commits, 2 pushes, 1 branch in 2 days
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