Trapit Bansal - Age, Wiki and Bio

Bio/Wiki

Summary	Trapit Bansal is an accomplished engineer known for his expertise in computer science and mathematics, contributing significantly to AI and machine learning.

College/University	Indian Institute of Technology, Kanpur University of Massachusetts, Amherst, USA
Degrees	Master of Science (Integrated) in Mathematics and Statistics (2007-2012) Master of Science in Computer Science (2015 - 2019) Doctor of Philosophy in Computer Science (2015-2021)

Spouse	Akansha Singh Bansal

Overview	Trapit Bansal has built a remarkable career through various roles in renowned organizations.
Timeline	Joined Accenture, Gurgaon, as a research analyst in 2012 after graduating. Worked as a research assistant at the Machine Learning Lab of the Indian Institute of Science, Bangalore from 2013 to 2015. 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. Recognized as an outstanding reviewer at NeurIPS 2021. Co-organized the 6th Workshop on Representation Learning for NLP in 2021. 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.

Overview

Trapit Bansal has built a remarkable career through various roles in renowned organizations.

Timeline

Joined Accenture, Gurgaon, as a research analyst in 2012 after graduating.
Worked as a research assistant at the Machine Learning Lab of the Indian Institute of Science, Bangalore from 2013 to 2015.
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.
Recognized as an outstanding reviewer at NeurIPS 2021.
Co-organized the 6th Workshop on Representation Learning for NLP in 2021.
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.

Instagram	https://www.instagram.com/trapitbansal/
Facebook	https://www.facebook.com/trapit
Twitter	https://x.com/TrapitBansal
LinkedIn	https://www.linkedin.com/in/trapit-bansal-646a3451/

Trapit hails from India and currently lives in San Francisco, USA.
He is an IIT Kanpur alumnus with a dual degree in Mathematics and Statistics.
He is a dog lover and previously owned an Australian Labradoodle named Yuki.
Bansal maintains a private life with his wife and daughter.