Shreepa Parthaje is a perception engineer with eight years of autonomy and robotics experience, now working on perception systems at NVIDIA in California. She has led perception teams and built motion-planning pipelines for high-speed autonomous racing at Cavalier Autonomous Racing, and has internship experience in radar tracking, planning, and cloud consulting with NVIDIA, Skydio, and AWS. Her background blends computer science and applied statistics from the University of Virginia with hands-on research in mobile robotics, giving her a strong quantitative edge for sensor fusion and real-time perception. Comfortable moving between research and production, she focuses on turning novel autonomy algorithms into robust, deployable systems. An early pattern in her career is combining academic research roles with competitive, fast-paced engineering projects, indicating a knack for rapid prototyping under tight constraints.
8 years of coding experience
3 years of employment as a software developer
High School Diploma High School/Secondary Diplomas and Certificates, High School Diploma High School/Secondary Diplomas and Certificates at Thomas Jefferson High School for Science and Technology
Bachelor's degree Computer Science Applied Statistics, Bachelor's degree Computer Science Applied Statistics at University of Virginia
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