About

I received my Master’s in Robotics from the University of Maryland, College Park, and my Bachelor's in Mechanical Engineering from Vellore Institute of Technology.
I’m broadly interested in computer vision and machine learning. My research focuses on visual reasoning, uncertainty quantification, and the design of efficient deep neural network architectures. I aim to build interpretable and robust AI systems that bridge perception and decision-making in real-world environments.

Teaching Assistant

University of Maryland, College Park

ENPM 808A: Introduction to Machine Learning
INST 452: Health Data Analytics

Professional Experience

Instacart

Machine Learning Intern

InterDigital Inc

Research and Innovation Intern

Spyne.ai

Computer Vision Engineer

Publications

BUCAN: Bayesian Uncertainty-aware Classification with Attention Networks for Medical Images
AAAI 2026 Bridge Program
LightFusionNet: Lightweight Dual-Stream Network with Predictive Context Attention for Efficient Medical Image Fusion
AAAI 2026 Bridge Program
BASIC: Bayesian Spiral Attention Classifier for Interpretable Medical Image Classification
Preprint
TAFIE: Transformer-Assisted Fusion with Integrated Entropy Attention for Multimodal Medical Imaging
AAAI 2026 Bridge Program
CRAUM-Net: Contextual Recursive Attention with Uncertainty Modeling for Salient Object Detection
Preprint
MAFFuse: Multi-Attention Fusion Network for Efficient and Robust Image Fusion
Preprint
CBAGAN-RRT: Convolutional Block Attention Generative Adversarial Network for Sampling-Based Path Planning
CVIP 2025
ViTBIS: Vision Transformer for Biomedical Image Segmentation
MICCAI 2021 Workshop
Dual Multi-Scale Attention Network
ICIAP 2022
Semantic Segmentation with Multi Scale Spatial Attention for Self Driving Cars
ICCV 2021 Workshop
Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation
WACV 2022 Workshop

Professional Service

Reviewer

AAAI 2026 Bridge Program on AI for Medicine and Healthcare
AISTATS 2026
AAAI 2026
WACV 2026
NeurIPS 2025 Ethics Reviewer
ICCV 2025 Workshop on Computer Vision for Biometrics, Identity & Behavior
ICCV 2025 Workshop on Distillation of Foundation Models for Autonomous Driving
ICCV 2025 Workshop on the Challenge Of Out Of Label Hazards In Autonomous Driving
ICCV 2025 Workshop on Computer Vision for Automated Medical Diagnosis
WACV 2024
CVPR 2023 Workshop on Multimodal Learning and Applications