Punit Bhatt is a software engineer with seven years of experience building resilient cloud and ML systems, currently working at Kodiak in San Jose. He has a strong Microsoft Azure background, having designed disaster recovery, telemetry, and idempotent cross-region migration architectures for Resource Mover and Azure Site Recovery. His experience spans production ML at Cruise and computer vision research at Carnegie Mellon and Nanyang Technological University, blending research rigor with production-quality engineering. Punit’s work often focuses on fault-tolerant, automatable infrastructure—he’s built recovery PoCs, background task schedulers, and deployment automation for private datacenters. A high-performing engineer academically (MS in Computer Vision from CMU, top-ranked undergraduate GPA), he brings both deep systems design and applied ML/perception expertise to solve complex operational problems.
7 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Computer Science, 9.53/10, Bachelor’s Degree, Computer Science, 9.53/10 at Manipal Institute of Technology
High School, Science, 90%, High School, Science, 90% at Shree Damodar Higher Secondary School of Science
Master of Science - MS, Computer Vision, 4.03, Master of Science - MS, Computer Vision, 4.03 at Carnegie Mellon University
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