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My Journey...
My Journey...
Currently working at IBM Research, India, in the Conversational AI team. Checkout our latest work on aligning LLMs with reward models - BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback
Completed my PhD in Machine Learning and Artificial Intelligence, guided by Mausam and Parag Singla at Computer Science and Engineering Department, Indian Institute of Technology Delhi.
Checkout my thesis - Deep Learning with Output Space Constraints
Prior to joining the PhD program in 2017, I worked in the quantitative finance industry for 10 years.
During the last five years of my professional stint, I was busy making high frequency trading strategies at Estee Advisors, trading primarily in stock, index and currency options.
I started my career in 2007 with the Equity Quantitative Analytics team at Lehman Brothers, which was eventually bought by Nomura after its bankruptcy in 2008.
I did my graduation in Mathematics and Computing, a five year integrated M.Tech programme offered by Mathematics Department at IIT Delhi.
Research Interests
Research Interests
Being a quant, my research interests lie at the intersection of stats and computer science. Hence, Machine Learning was a natural choice for me, even before it became a hype!
Currently, I am interested in the broad area of integrating symbolic knowledge with neural networks. Specifically, looking at how to train neural models for solving symbolic tasks? What are the different ways of learning better neural models by augmenting them with domain knowledge? How can we efficiently integrate differentiable symbolic solvers with neural networks for end-to-end training of neuro-symbolic architectures?
During my 1st year of PhD, I started with an ambitious project of automatically generating radiology reports from a brain CT scan. Unfortunately I moved on to other interesting things and that project eventually died. I hope to come back to similar research problems some time in future.
Academic Activities
Academic Activities
Taking guest lectures as part of the Large Language Models (LLMs): Introduction and Recent Advances course offered at IITD by Tanmoy Chakraborty. Thanks, Tanmoy, for the collaboration!
Tutorial on Neuro-symbolic AI @ ODSC APAC 2021 [Video]
One of the workflow chairs at AAAI 2021
Participated as a Reviewer for NeurIPS 2020, 2021, ICLR 2022, ICML 2024, and CODS-COMAD 2023-24.
Other Events Attended
Other Events Attended
Amazon Research Days, 2021, 2019, 2018
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