Viraj Shitole

I am a Master’s student in the Electrical and Computer Engineering Department at Georgia Tech, advised by Professor Pan Li. My current research focuses on machine learning, foundation models, and generative graph algorithms.

Prior to Georgia Tech, I received Bachelor’s degrees in Computer Engineering, Mathematics, and Statistics from the University of Illinois at Urbana-Champaign. At UIUC, I was advised by Professor Elyse Rosenbaum and worked on building machine learning models for transistors.

Email  /  Scholar  /  Github  /  LinkedIn

profile photo

Publications

LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas Sridharan, Ying Zhang, Tushar Krishna, Pan Li
International Conference on Learning Representations (Spotlight), 2024
Generalizing Normalization for Approximate Nearest Neighbor Algorithms
Viraj Shitole
Illinois IDEALS, 2023
Data-Driven Compact Modeling of Bipolar Junction Transistors with Recurrent Neural Networks
Biliana Paskaleva, Viraj Shitole, Elyse Rosenbaum, Joshua Hanson, Alan Yang, Paul Kuberry
Sandia National Laboratories, 2021 (SAND2021-11851C)

Work Experience

Amazon logo Amazon, Summer 2023
Personalization
Amazon logo Amazon, Summer 2022
Personalization
Capital One logo Capital One, Summer 2021
Data Engineering and Ads
PhysIQ logo PhysIQ, Summer 2020
App Development

Credit to Jon Barron for website template.