Anugunj Naman
I am currently pursuing a graduate degree at Purdue University, specializing in Machine Learning. Previously, I worked as a Software Engineer at Elevance Health, where I collaborated with the Responsible AI and Explainable AI (XAI) team to enhance fairness, interpretability, and mitigate data drift in machine learning models.
I hold a Bachelor of Technology in Computer Science and Engineering from the Indian Institute of Information Technology, Guwahati, which I completed in 2022.
My research experience includes an internship at NVIDIA, where I focused on speech recognition, meta-learning, and few-shot learning. I also interned at the AI-ML-NLP Lab at IIT Patna, where I worked on multimodal learning techniques.
In addition, I have made contributions to the open-source community, particularly to the HuggingFace Transformers library. My contributions include integrating two vision transformer models: Microsoft's CvT: Convolutions to Vision Transformers and Meta's LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference.
Contact: anugunjjha at gmail dot
com
Recent Publications
2025
2024
2021