I’m a 2nd year Ph.D. student at Georgia Tech, advised by Judy Hoffman, focusing on understanding and editing the behavior of deep neural networks. My primary interests span representation learning, model merging, and efficient deep learning. Recently, my work has centered on fusing and editing fine-tuned models within multi-task learning, federated learning, and continual learning contexts.
I earned my master’s in ECE in 2022 at Georgia Tech, advised by Rishikesan Kamaleswaran, where I worked on machine translation on clinical sensor data as a research assistant.
I’m honored to be a recipient of the Herbert P. Haley Fellowship at Georgia Tech for 2023-2024.
I’m on the lookout for internships for Summer 2025 focused on topics related to model efficiency, representation learning, and model editing. Please reach out if I’d be a good match for your team.
email | google scholar | github | linkedin | cv
George Stoica*, Pratik Ramesh*, Boglarka Ecsedi, Leshem Choshen, Judy Hoffman
* Equal Contribution
Pre-Print (under review)
George Stoica, Daniel Bolya, Jakob Brandt Bjorner, Pratik Ramesh, Taylor Hearn, Judy Hoffman
International Conference on Learning Representation (ICLR) 2024
(Also presented as an Oral at Workshop on Unifying Representations in Neural Models, NeurIPS 2023)
Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman
International Conference on Computer Vision (ICCV) 2023
Vinay A, Rahul Ragesh, Nikitha Rao, Pratik R, Natarajan S and K.N Balasubramanya Murthy
International Conference on Sustainable Computing in Science, Technology and Management, 2019
A Vinay, Pratik Rajesh Sampat, Sagar V Belavadi, Pratik R, Nikitha Rao B S, Rahul Ragesh, K N Balasubramanya Murthy and S Natarajan
International Conference on Sustainable Computing in Science, Technology and Management, 2019