Data Scientist at Microsoft. My research sits at the intersection of vision-language models, medical imaging, and generative AI, building efficient and interpretable systems for real-world healthcare.
If you've ever used PowerPoint Copilot to clean up a messy slide, there’s a small chance you've run into some of my work. I was involved as a Data Scientist on that team at Microsoft. Before that, I completed my undergrad at IIT Gandhinagar.
During my time there, I got to work on some exciting research. My work focused on vision-language models, diffusion-based generative AI, and few-shot medical image classification. Through research internships at IISc Bangalore, the University of Bath, and IIIT Hyderabad, I gained experience with diffusion transformers, attention-based image editing, and anomaly detection in autonomous driving.
But right now, I’m taking a big step that I have been incredibly eager to start: my PhD at Johns Hopkins University, where I am fortunate to be advised by Prof. Vishal Patel. I'm genuinely excited to jump into research and see where this next chapter takes me.
Thanks for stopping by! Feel free to look around or reach out if you'd like to say hi.
Integrated SAM-based pixel attention with CLIP for interpretable and robust few-shot medical image classification.
Wavelet-enhanced pipeline for shadow detection and removal, combining frequency-domain analysis with deep learning.
LSTM-based framework for predicting internal battery temperature and recommending optimal chemistry for EV and grid storage.
Electro-thermal modelling approach for accurate battery state estimation, extending the TEMPEST framework.
Data Scientist Intern · Received Full-Time PPO
Research Intern — Diffusion Transformers
Research Intern — Vision-Language Models
Research Intern — Autonomous Driving
Fully funded PhD position in EECS to specialise in Medical AI.
Full-time Pre-Placement Offer at Microsoft IDC with the 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 by IITGN.
Official reviewer for IEEE Signal Processing Letters (2025–present); 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, Probability & Data Visualization, and Principles of EE.
Featured in the April 2026 edition; Problem Statement Setter for IITGN's flagship HackRush '26.