About

I’m a graduate student in Artificial Intelligence at Northeastern University’s Khoury College, specializing in computer vision and deep learning. Starting August 2026, I’ll be joining the BioTranslation Lab at Brigham and Women’s Hospital / Harvard Medical School under Dr. Nitin Joshi for a one-year research internship.

My work sits at the intersection of computer vision and healthcare — I care most about interpretability in medical imaging, where a model’s confidence should be earned by the right evidence. My flagship project, Arxelos, is a production-deployed platform that pairs a brain-tumor MRI classifier with a side-by-side ResNet-50 vs ViT-B/16 interpretability analyzer and a PubMed-grounded RAG pipeline for medical literature.

I got here through Prof. Nancy Kanwisher’s MIT OpenCourseWare course on the human brain (9.13), which reframed how I thought about representation and hierarchy. Before Northeastern I completed a B.Tech in CSE with an AI/ML specialization, and I’ve since worked through a structured Vision-Language-Action learning track (RT-1 → RT-2 → OpenVLA, MuJoCo, DINOv2 + SigLIP) and merged a PR into HuggingFace Transformers.

Outside research, I bake (usually adapting recipes to be healthier), compete in trivia, and write about AI on LinkedIn.

Research Interests

• Medical imaging & interpretability — Grad-CAM, attention rollout, and post-hoc explainability for clinical decision support
• Computer vision — detection, segmentation, depth estimation, and multi-model perception ensembles
• Deep learning architectures — CNNs, Vision Transformers, and comparative analysis of inductive biases
• Generative models — controllable generation, demographic fairness in synthesis, evaluation beyond FID
• Neuroimaging & neuro-AI — fiber bundle segmentation, diffusion MRI, and representation learning on brain data

Education

Northeastern University — MS in Artificial Intelligence · September 2025 – May 2027 Concentration in Machine Learning · Khoury College of Computer Sciences

Quantum University — B.Tech in Computer Science and Engineering Specialization in Artificial Intelligence and Machine Learning

Contact

The fastest way to reach me is email. I’m on GitHub, LinkedIn, and LeetCode as well.