Summary
Aditya Samant is a seasoned software engineer with a decade of experience building production systems at PayPal, currently a Member of Technical Staff based in the San Francisco Bay Area. He combines strong algorithmic foundations with full-stack and machine learning expertise honed while pursuing an MS in Computer Science at USC with a 3.91 GPA. At USC he serves as a grader for Software Engineering and AI courses, reflecting both deep technical knowledge and a commitment to mentoring future engineers. His trajectory from intern to senior engineering roles at PayPal demonstrates consistent delivery of impactful solutions in large-scale payment systems. A national-level robotics champion, he brings a competitive, hands-on problem-solving mindset and rapid prototyping skills to complex engineering challenges. He’s equally comfortable shipping backend services as iterating on ML-driven features, making him a versatile contributor across product and research boundaries.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, 3.91, Master of Science - MS, Computer Science, 3.91 at University of Southern California