Sahil Singla
Research Scientist at Google DeepMind
College Park, Maryland, United States
Summary
👤
Senior🎓
Top SchoolSahil 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
English, Hindi
Github Skills (21)
cifar10010
python10
machine-learning10
deep-learning10
tensorflow10
gpu10
neural-network10
data-science9
pytorch9
ml9
numpy9
autograd9
deep-neural-networks9
tensor9
jax9
Programming languages (3)
Github contributions (5)
singlasahil14/SOC
May 2021 - Feb 2022
Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Contributions:95 commits, 90 pushes, 1 branch in 9 months
cifar100
singlasahil14/salient_imagenet
Feb 2022 - Aug 2022
Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
Contributions:96 commits, 94 pushes, 1 branch in 6 months
deep-learningimagenet
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