During the Intel-powered AI/ML summer research training program at Chandigarh University, Mohali, I co-authored a paper on brain tumor segmentation and volume estimation using U-Net, now under peer review. I implemented a lightweight model for BraTS 2020 MRI data, achieving an 84.0% Dice Score and 99.1% pixel-wise accuracy.
I also worked on preprocessing and evaluating medical imaging data, integrated Grad-CAM visualizations, and built a module to estimate tumor volume from segmented voxels. My projects include a grievance and feedback portal using React, Spring Boot, and PostgreSQL, and a C++ file compression tool using Huffman coding.
