Karthik Paga is a computer vision researcher and practitioner with 11 years of experience building production-grade perception systems across robotics, healthcare, and fraud prevention. Currently a CMU MS student and a Computer Vision Research Intern on Apple’s Maps 3D Vision team, he researches test-time adaptation for robotic manipulation and has worked on perception-driven end-to-end planning for autonomous vehicles. At HyperVerge he led face anti-spoofing and deepfake detection efforts that achieved near-zero fraud rates in production and built a low-latency embedding matching system for real-time KYC verification. His background in computational radiology and federated learning reflects a consistent focus on privacy-aware, high-precision vision solutions. Colleagues know him for turning cutting-edge research into scalable pipelines and for mentoring teams through complex go-lives while maintaining a taste for aviation and robotics.
11 years of coding experience
4 years of employment as a software developer
8th-12th MPC CBSE, 8th-12th MPC CBSE at Sri Sathya Sai Institute of Higher Learning
BTech - Bachelor of Technology Electronics and Computer engineering, BTech - Bachelor of Technology Electronics and Computer engineering at Vellore Institute of Technology
Master of Science MS in Computer Vision, Master of Science MS in Computer Vision at Carnegie Mellon University
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