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I am a Senior Research Scientist at Google DeepMind (Ex-Google Brain), where I work on Gemini reasoning. Recently, I built a System that got some crucial points in the International Mathematical Olympiad (IMO) 2024 and critically contributed to our Silver Medal along with AlphaProof and AlphaGeometry. I also co-led reasoning research that contributed to the successful launch of a SOTA reasoning Gemini model at Google IO 2024. Most of my patented works at Google revolves around LLM Reasoning, Scaling, Post-Training, Self-Improvement and Inference. Prior to Google, My main research contributions were the first paper on instruction-tuning and some foundational reasoning methods e.g. reframing, question-decomposition, math via programs, help me think and instruction-bias (EACL 2023 Outstanding Paper Award). I am a co-organizer of the MATH-AI workshop at NeurIPS 2022 and NeurIPS 2024. I received ASU Dean’s Dissertation Award 2023 (1 in the school) and CEN-CS Outstanding Student Award 2023 (1 in the department) for my PhD Dissertation: "Towards Development of Models that Learn New Tasks from Instructions". The award video summarizes the contribution of my dissertation to ChatGPT and other LLMs. My work "Natural Instructions" received the AI2 "Lasting Impact Paper Award" after 3.5 years of the first publication date. [Selected Media Coverage]: The New York Times article covering our IMO-Silver (group photo in the article), a popular (400k+ Views) local media Interview, Kanak News Interview and a podcast on Instruction Tuning, Prompt Engineering, & Self Improving LLMs. [Selected Panel Discussions and Invited Talks]: ACL 2023 SRW Panel Discussion (Picture), Upcoming NeurIPS 2024 Panel Discussion, Invited Talks at IIT Mandi (Picture), IIT Kharagpur, IIT Bhubaneswar, KIIT Bhubaneswar, Silicon Bhubaneswar (Picture) and NIST Berhampur. X / Email / Google Scholar / Linkedin / Instagram / Facebook |
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