Sameer Wagh is a founder and senior research scientist with 11 years of experience building privacy-preserving ML systems at the intersection of applied cryptography and product engineering. He founded SecretBit Ventures, leads research at OpenMined, and serves as a visiting researcher at the University of Virginia after heading privacy and R&D at Devron where he turned concepts like vertical federated learning and AI-driven privacy checks into shipped features. A Princeton PhD and former UC Berkeley postdoc, his work spans secure multi-party computation, homomorphic encryption, differential privacy and practical deployments that now inform open-source projects and startups. Trained in theoretical physics and advanced mathematics, he brings a creative, constraint-driven problem-solving style that blends deep theory with hands-on engineering and product delivery.
11 years of coding experience
2 years of employment as a software developer
Computer Science, Computer Science at University of California, Berkeley
Indian Institute of Technology Madras
Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering, Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering at Princeton University
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