Summary
Anirudh C is a machine learning researcher-engineer with 8 years of experience, currently a Member of Technical Staff at Amazon AGI SF Lab (ex-Adept) building browser-capable agents. He holds an MS in Computer Vision from Carnegie Mellon and a BE from BITS Pilani, and has a strong track record publishing and shipping research—from IJCV work on open-world LiDAR panoptic segmentation to state-of-the-art video instance segmentation improvements. Prior roles at Cruise focused on long-tail perception and multi-task learning that measurably improved vehicle classification and deployment metrics. His internships span adversarial defense, vital-parameter estimation, and transformer-based tracking, demonstrating breadth across vision, robustness, and applied perception for autonomy. Colleagues describe him as research-first but product-minded, able to translate novel algorithms into production gains. Based in San Francisco, he blends top-tier academic pedigree with hands-on engineering impact in safety-critical ML systems.
7 years of coding experience
2 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS Computer Vision, Master of Science - MS Computer Vision at Carnegie Mellon University