| Timeline | - Moved to California in 2015 to pursue his MS/PhD at the University of Massachusetts Amherst.
- Interned at Facebook in 2016, focusing on deep learning for Natural Language Processing (NLP).
- Joined OpenAI as a trainee in 2017, specializing in multi-agent reinforcement learning and meta-learning.
- Became a researcher at Google in 2018, concentrating on knowledge graph reasoning.
- Presented a landmark paper on meta-learning at the 2018 International Conference on Learning Representations, winning the best paper award.
- Interned at Microsoft Research Montréal in 2020, working on self-supervised meta-learning for NLP.
- Completed his PhD in 2021 with notable research on few-shot NLP by meta-learning.
- Contributed to OpenAI's reasoning model as a research scientist from 2022 onwards.
- Joined Meta in June 2025 in the superintelligence unit, focusing on advanced AI reasoning models.
- Joined OpenAI in January 2022 as a member of technical staff, contributing to reinforcement learning, advanced AI reasoning research, and the o1 reasoning model while working closely with co-founder Ilya Sutskever.
- In July 2025, announced departure from OpenAI and joined Meta's Superintelligence Labs team, focusing on advanced AI reasoning models.
- 2012: Graduated from IIT Kanpur with an integrated degree in Mathematics and Statistics.
- 2012: Joined Accenture, Gurgaon, as a research analyst.
- 2013-2015: Worked as a research assistant at the Machine Learning Lab of the Indian Institute of Science, Bangalore.
- 2015: Moved to California to pursue MS/PhD at the University of Massachusetts Amherst under Prof. Andrew McCallum.
- 2016: Interned at Facebook in the Applied Machine Learning group, focusing on deep learning for Natural Language Processing.
- 2017: Interned at OpenAI for four months, specializing in multi-agent reinforcement learning and meta-learning.
- 2018: Worked as a researcher at Google, concentrating on knowledge graph reasoning.
- 2018: Presented a landmark paper on meta-learning at the International Conference on Learning Representations.
- 2020: Interned at Microsoft Research Montréal, working on self-supervised meta-learning for NLP.
- 2015-2021: Served as a Graduate Research Assistant at the University of Massachusetts Amherst, focusing on deep learning methods for NLP.
- 2021: Completed PhD in Computer Science with notable research on few-shot NLP by meta-learning.
- 2021: Recognized as an outstanding reviewer at NeurIPS 2021.
- 2021: Co-organized the 6th Workshop on Representation Learning for NLP.
- January 2022: Joined OpenAI as a Member of Technical Staff, contributing to reinforcement learning and advanced AI reasoning research.
- 2022 onwards: Contributed to OpenAI's o1 reasoning model as a research scientist, working closely with co-founder Ilya Sutskever.
- July 2025: Announced departure from OpenAI after over three years of contributions to foundational models and reasoning research.
- July 2025: Joined Meta's Superintelligence Labs team, focusing on advanced AI reasoning models and next-generation AI systems.
- 2007-2012: Completed integrated degree in Mathematics and Statistics from IIT Kanpur.
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