My research interests lie in developing principled algorithms that enable agents to generalize and adapt continually. I am interested in building systems that don't just memorize trajectories but achieve robust generalization to unseen physics or scenarios. My work anchors in Reinforcement Learning while actively leveraging insights from optimization and learning theory to overcome methodological bottlenecks in dynamic and data-scarce environments.
Keywords: Reinforcement Learning, Deep Learning and Machine Learning
For more details about my background, refer to my Resume / CV. I am always happy to discuss research, potential collaborations, or just chat about ML. Feel free to reach out via Email or LinkedIn!
Last Updated: April 2026
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December, 2025
Presented work at Google DeepMind's NeurIPS Booth on goal coverage in RL (San Diego).
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October, 2025
Our paper "Dense and Diverse Goal Coverage in Reinforcement Learning" is now on arXiv! [Paper]
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July, 2025
Our work on "Learning from Label Proportions and Covariate-shifted Instances" has been accepted to UAI (Rio)! [Paper]
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December, 2024
Our paper "Learning from Label Proportions and Covariate-shifted Instances" is now on arXiv! [Paper]
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August, 2024
Joined Google DeepMind as a Pre-Doctoral Researcher.
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July, 2024
Oracle's flagship TTS model supporting natural voices and voice cloning is live.
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August, 2023
Joined Oracle Cloud AI Services - Speech team.
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May, 2023
Gave oral presentation at AAMAS about our work on combining human-AI predictions (London).
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May, 2023
Graduated from IIT Ropar with a CGPA of 9.31/10 (AI Concentration: 10/10)
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May, 2023
Awarded the AAMAS Student Scholarship (£650), Google Research Travel Grant ($2k) and Microsoft Research Travel Grant (₹120k).
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February, 2023
Offered Amazon Applied Scientist Internship based on performance in Amazon ML Summer School and interviews (Alexa team).
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December, 2022
Top 20 in India in Oppo Inspiration Cup; invited to finale in Hyderabad.
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August, 2022
Finished SWE internship at Oracle with a full-time return offer.
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May, 2022
Received Best B.Tech. Project Award during Technology Day at IIT Ropar.
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May, 2022
Achieved global rank 238 in Google Kickstart Round C.
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March, 2021
Achieved All India Rank 18 and Global Rank 198 in Google Hash Code.
Verifiable Problem Generation for Gemini Thinking
Engineered a fully-verifiable curriculum generation engine for improving
thinking in Gemini models.
Contributed 38% of the data in the Gemini thinking data revision, leading to >10%
improvement on downstream tasks like Math and NL Reasoning.
Transformer-based Text-to-Speech (TTS)
Built Oracle's in-house TTS model supporting few-shot voice cloning.
Handled high-fidelity data procurement, distributed training on Slurm clusters,
deployment via Triton inference server, and developer experience.
Blog:
OCI Speech Update
SAMPAN: Tracking District Level Malnutrition
Developed an Android app and Web dashboard used by 1200+ workers to log 50,000+ data points
monthly.
Media Coverage:
The Tribune
Play Store
Video
C=Conference, P=Preprint, *=Equal Contribution
