Rahul Rajan

Rahul Rajan is a seasoned software engineer with significant experience in machine learning and software development. An alumnus of Georgia Institute of Technology, where a Bachelor of Science in Computer Science was earned with highest honors, Rahul's career began at Kashmir World Foundation as an Artificial Intelligence Team Lead, developing real-time tracking systems for conservation efforts. Subsequently, experience as a Student Research Intern at the U.S. Naval Research Laboratory involved researching artificial physics and bio-inspired algorithms, while roles at various tech companies, including Meta, Uber, and Visa, focused on building software solutions and enhancements for advanced technologies such as autonomous vehicles and payment systems. At Georgia Tech CBA Lab, Rahul contributed to multi-modal activity recognition research, and has produced impactful work on developing APIs and user interfaces to facilitate deep learning model comparisons at Meta.