AI Researcher · Computer Vision · Medical Imaging
Final-year undergraduate at IIT Gandhinagar (Electrical Engineering, Minor in AI). My research sits at the intersection of vision-language models, medical imaging, and generative AI — with a focus on building efficient, interpretable systems for real-world healthcare deployment.
About
I work on vision-language models, diffusion-based generative AI, and few-shot medical image classification. Through research stints at IISc Bangalore, University of Bath, IIIT Hyderabad, and an internship at Microsoft IDC, I've built expertise spanning diffusion transformers, attention-based image editing, document AI, and autonomous driving anomaly detection.
I care deeply about making AI systems that are not just accurate, but interpretable and robust enough for deployment at population scale — especially in healthcare settings where reliability directly impacts lives.
Beyond research, I serve as an IEEE reviewer, teach ML and probability courses, and lead career development initiatives at IITGN's Professional Development Council.
Research
Integrated SAM-based pixel attention with CLIP for interpretable and robust few-shot medical image classification. Demonstrates improved performance through attention mechanism visualisation.
Wavelet-enhanced pipeline for shadow detection and removal, achieving state-of-the-art performance by combining frequency-domain analysis with deep learning.
LSTM-based framework for predicting internal battery temperature and recommending optimal chemistry for EV and grid storage systems.
Electro-thermal modelling approach for accurate battery state estimation, extending the TEMPEST framework.
Experience
Data Scientist Intern (Received Full-Time PPO)
Research Intern — Diffusion Transformers
Research Intern — Vision-Language Models
Research Intern — Autonomous Driving
Recognition
Fully funded PhD position in EECS to specialise in Medical AI (Ranked #24 globally, #1 for Medical AI).
Secured full-time Pre-Placement Offer at Microsoft IDC with highest compensation in a tech role from IITGN.
Only B.Tech student in the batch to publish at IEEE's flagship SPS conference. Awarded ₹25k cash prize by IITGN.
Official reviewer for IEEE Signal Processing Letters (2025–present). Completed 4 technical peer-reviews to date.
One of few students nationwide selected for India's premier annual AI academic summit.
Ranked Top 3 for Research Paper Poster across all 23 IITs in EE and CSE domains.
TA for Machine Learning (250+ students), Probability & Data Visualization (400+ students), and Principles of EE.
Featured in the April 2026 edition; also served as Problem Statement Setter for IITGN's flagship HackRush '26.
Expertise