Sahil Singla is a research scientist focused on robust and reliable machine learning, currently working on diffusion models and RLHF at Google DeepMind after a research scientist role at Google. He holds a PhD in AI from the University of Maryland and brings nine years of experience spanning deep learning research, failure explanation for neural networks, and applied ML in domains from high-frequency trading to agriculture. Sahil’s background uniquely blends rigorous academic training with hands-on product and startup experience—he founded a fintech startup as CTO and has built ML systems in both industry and research labs. Known for tackling reliability and robustness at scale, he combines theoretical depth with practical engineering to make models safer and more dependable.
9 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Doctor of Philosophy - PhD, Artificial Intelligence, 4.0, Doctor of Philosophy - PhD, Artificial Intelligence, 4.0 at University of Maryland
Contributions:96 commits, 94 pushes, 1 branch in 6 months
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