Pratik Vaishnavi is a machine learning research scientist and PhD candidate specializing in adversarial ML, robustness, and secure training methods for visual recognition systems. With a decade of experience spanning industry research roles at Meta, SonyAI, and Amazon, he has delivered practical defenses for object detectors and camera-based systems while cutting training costs and GPU usage through dataset distillation. His work bridges core research—transfer learning, distillation, domain generalization, self-supervision—with production-minded applied projects like spoof-image synthesis and video-based anomaly detection that produced deployable pipelines. Based in Mountain View, he combines deep expertise in computer vision and deep learning with an interest in environmental and cost efficiency of ML training, and has a track record of turning novel synthetic-data ideas into measurable robustness gains.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Technology (BTech) Electronics and Communication Engineering, Bachelor of Technology (BTech) Electronics and Communication Engineering at National Institute of Technology Surat
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stony Brook University
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