I am a Research Assistant at the Applied Theory for Machine Learning Research (ATMLR) Lab, IIT Hyderabad, working under the supervision of Dr.J Saketha Nath. Previously, I completed my Master’s Thesis Research work with Dr.Srijith P.K. on Non-Stationary Markov Decision Processes and Continual Reinforcement Learning. I hold a BS-MS degree from IISER Berhampur with a major in Mathematics and a minor in Computer Science.
Research, I am broadly interested in Reinforcement Learning, particularly in developing unsupervised and meta reinforcement learning algorithms with strong theoretical guarantees, including sample complexity, regret analysis and generalization bounds. I have a deep interest in Foundations of Reinforcement Learning, aiming to analyze RL algorithms from a mathematical perspective to develop provably efficient and computationally tractable methods.
Beyond Core Research, I have a particular interest in Machine Learning Systems(MLSys) with a focus on developing efficient inference methods and distributed training for large deep learning models. I love Open Source and I spend time actively contributing to open source projects of my own and others (some of them are mentioned on the software page)
Outside Research, I enjoy playing Cricket, Travelling and exploring new cuisines, Reading(Non-Fiction!)
I’m actively seeking research opportunities. Feel free to reach out if you’d like to discuss collaborations, research roles, or cool open-source project ideas.
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Education:
- M.S. in Mathematics and Computer Science(Minor), IISER Berhampur, 2025
- B.S. in Mathematics and Computer Science(Minor), Indian Institute of Science Education and Research (IISER) Berhampur, INDIA
Research Interests:
- Reinforcement learning and Sequential Decision-Making
- Deep Generative Models
- Statistical Learning Theory
- Machine Learning Systems (ML for Systems and Systems for ML)
Updates:
| May 2025: | Submitted and defended Master's Thesis titled: "Non-Stationary Markov Decision Processes and Continual Reinforcement Learning Algorithms": Thesis PDF |
| December 2024: | Selected as an AI Fellow (one of 10 fellows out of 350+ applicants worldwide) to be a part of the 2-month immersive Pi School of AI program(Rome, Italy) on a 100% scholarship |
| September 2024: | Started position as Undergraduate Teaching Assistant(TA) at IISER Berhampur for CDS 101: Introduction to Programming with Python (Fall Semester 2024 Sep-Dec) under Dr. Anabik Pal |
| February 2024: | Selected for Oxford Machine Learning Summer School 2024 for the tracks MLx Representation Learning and MLx Health and Bio to be held at Oxford Mathematical Institute UK |
| January 2024: | Started as Masters Thesis Student at Bayesian Reasoning and Inference Group at Department of AI, IIT Hyderabad |
| August 2023: | Worked at REint AI (Startup) as a Deep Learning Intern |
| July 2023: | Selected for 7th Summer School on Artificial Intelligence 2023 with focus on Computer Vision and Machine Learning by IIIT Hyderabad (In-Person Category) |
| Mar 2023: | Awarded Summer Research Fellowship by Indian Academy of Sciences to work under Dr. Sudarshan Iyengar HoD of CSE dept at IIT Ropar |
| Nov 2022: | Started new position in the Department of Physics, IISER Berhampur as Project student under Dr. Rahul Sharma. I Will be working on denoising models for STM images(scanning tunneling microscopy) |
| Oct 2022: | Our Team secured Silver Medal in iGEM Grand Jamboree 2022 at Paris, France |
| June 2022: | Started position at iGEM Team IISER Berhampur in the Modelling Team |
| May 2022: | Started Internship at IIT Hyderabad, Department of A.I. Under Prof. Srijit P.K. on Neural Differential Equations |
| Mar 2022: | Started position as Undergraduate Research Assistant in the NeuroImaging and Brain Research Group, IISER Berhampur under Dr. Vivek Tiwari |
| Dec 2020: | Admitted to BS-MS Dual Degree Programme at IISER Berhampur through JEE Advanced Channel |