Sotabase

Career

· Staff Research Engineer, Google DeepMind2019–
· SWE Intern, Facebook2018–2018
· Master of Science - MS, Computer Science, 4.12/4.00, Stanford University2017–2019
· Research Intern, ETH Zurich2016–2016
· Machine Learning Intern, Silverleaf Capital Services2015–2015
· Software Engineer Intern, Indus OS2014–2014
· Bachelor of Technology - BTech, Computer Science, 9.61, Indian Institute of Technology, Bombay2013–2017
· Bachelor of Technology - BTech (Honours), Computer Science, 9.61, Indian Institute of Technology, Bombay2013–2017

Publications (38)

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
arXiv.org · 2024
3,137
cited
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
arXiv.org · 2025
1,636
cited
Gemma 2: Improving Open Language Models at a Practical Size
arXiv.org · 2024
1,634
cited
The Marabou Framework for Verification and Analysis of Deep Neural Networks
International Conference on Computer Aided Verification · 2019
569
cited
Large-Scale Representation Learning on Graphs via Bootstrapping
International Conference on Learning Representations · 2021
289
cited
Bootstrapped Representation Learning on Graphs
arXiv.org · 2021
284
cited
Adversarial Examples for Natural Language Classification Problems
2018
112
cited
BYOL-Explore: Exploration by Bootstrapped Prediction
2022
89
cited
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
2020
69
cited
Understanding Self-Predictive Learning for Reinforcement Learning
International Conference on Machine Learning · 2022
43
cited
Geometric Entropic Exploration
2021
36
cited
Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study
North American Chapter of the Association for Computational Linguistics · 2025
36
cited
Half-Hop: A graph upsampling approach for slowing down message passing
International Conference on Machine Learning · 2023
33
cited
Large-scale graph representation learning with very deep GNNs and self-supervision
2021
27
cited
Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
Neural Information Processing Systems · 2023
12
cited
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models
North American Chapter of the Association for Computational Linguistics · 2025
12
cited
Generalised Policy Improvement with Geometric Policy Composition
2022
10
cited
Learning Behavior Representations Through Multi-Timescale Bootstrapping
arXiv.org · 2022
8
cited
Bioinspired engineering of exploration systems
2001
6
cited
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
2023
6
cited
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