MS(R) Student @ IIT Bombay

Building AI for
Healthcare & Vision

I am a Master’s student specializing in Health AI research, with a strong foundation in computer vision and deep learning. Previously felicitated as a Research Assistant, I have collaborated closely with experienced researchers on stable architecture generation and vision-based models. My current focus is on the field of domain adaptation, test time adaptation, few shot learning, and OOD Analysis, particularly in the context of medical imaging. I look forward to collaborating with like-minded individuals and organizations to push the boundaries of AI in Computer Vision and Healthcare.

View Projects Full Resume
Souradeep Dutta

Experience

June 2025 – Present

Teaching Assistant (TA)

Indian Institute of Technology, Bombay

May 2024 – Nov 2024

Research & Development Intern

Indian Institute of Technology, Bombay

Focusing on Computer Vision and Remote Sensing applications.

Feb 2024 – April 2025

Research Assistant

IEDC (CEDS), Kolkata

Worked on Computer Vision & Generative AI, collaborating on vision-based models and robust architecture generation.

Jan 2022 – Feb 2023

Junior Researcher

IEM IIC, Kolkata

Focused on Machine Learning & AI fundamentals.

Selected Projects

Current Research: Test Time Adaptation in Fundus Anomaly Detection (DR)

Aligning to test distribution , realtime in deployment

PyTorchTransformersMedical ImagingTTA

Agentic Guard System for Enhanced Security

Real-time agentic guard system for enhanced security.

PyTorchFAISSTTSGroq

Agentic LLM based automated Customer Support Resolution and Escalation System

Agentic LLM based automated Customer Support Resolution and Escalation System

PyTorchFAISSRAGQwen

DeepViolence Detector (Swin3D)

Real-time violence detection using a modified Swin-3D Transformer with GUI support.

PyTorchTransformersVideo AI

Vision-Language Satellite Classification (CoOp)

Applying context optimization (CoOp) to enhance CLIP for satellite image classification.

CLIPPyTorchAerial Vision

Histopathology Image Super-Resolution (SR3)

Diffusion-based SR3 model for super-resolving histopathology images.

Diffusion ModelsSR3Medical AI

Retinal Blood Vessel Segmentation

Deep learning pipeline for vessel segmentation in retinal fundus images.

U-NetMedical Imaging

Reasoning VQA with Knowledge Graphs

Knowledge-augmented VQA system combining KG reasoning with visual understanding.

VQAKnowledge GraphsPyTorch

RxIntelli – Medical NLP Assistant

Semantic search and intelligent medical document interpretation.

NLPFastAPIHealthcare AI

Meta-Learning on Satellite Images

Zero-shot recognition systems for satellite data using meta-learning to enable Open World Learning.

PyTorchMeta-Learning

UAV Weather Forecasting

On ground collected data from UAV. Bi-directional LSTM system for temporal sequencing model. 95.9% accuracy with sub-6ms latency.

LSTMIoT
Patent Published

AESTHETE: Eye Strain Software

Software that adjusts screen brightness and magnification based on eye distance , fatigue detection and eye power problem.

Computer VisionPython

Publications

2025

Revisiting KRISP: A Lightweight Reproduction and Analysis of Knowledge-Enhanced Vision-Language Models

Author Name: Souradeep Dutta , et al.

PDF Code
BibTex Citation: @misc{dutta2025revisitingkrisplightweightreproduction, title={Revisiting KRISP: A Lightweight Reproduction and Analysis of Knowledge-Enhanced Vision-Language Models}, author={Souradeep Dutta and Keshav Bulia and Neena S Nair}, year={2025}, eprint={2511.20795}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2511.20795}, }

Blogs

Golden Noise: The Secret Ingredient Making Diffusion Models Smarter

A simple look at ICCV 2025’s breakthrough in learnable noise for diffusion models.

Nov 2025

What If Your Model Could Fix Itself Mid-Flight?

A simple look at ICLR 2021’s breakthrough in fully test-time adaptation by entropy minimization.

Mar 2026

Technical Skills

Languages

Python, C, C++, R, Java, SQL, MATLAB

Frameworks

PyTorch, TensorFlow , Streamlit

Tools

Google Cloud, AWS, ChromaDB , FAISS, GiT

LLMS & VLMs

Qwen, LLaMA, Gemini , Groq , CLIP

Awards

  • Dr. Nitish Thakur Fellowship,KCDH, IIT Bombay - In recognition to academic excellence and research rigor. [2026]
  • Ranked 5th in LoopAI Hackathon , IIT Bombay - WnCC x Loop AI/ML Healthcare Hackathon
  • GATE 2025- In top 1% AIR in CS, DA.

Advanced Coursework (IIT Bombay)

EE 782: Advanced Topics in Machine Learning [Prof. Amit Sethi]
GNR 650: Advanced Deep Learning for Image Analysis [Prof. Biplab Banerjee]
CS 736: Medical Image Computing (MIC) [Prof. Suyash Awate]
GNR 638: Machine Learning for Remote Sensing II [Prof. Biplab Banerjee]
DH 801: Bio-Statistics In Healthcare [Prof. Saket Choudhary , Prof. Ranjith Padinhateeri]
DH 302: Introduction to Public Health Informatics [Prof. Nirmal Punjabi,Prof. Saket Choudhary]

Education

MS (By Research) in Health AI

IIT Bombay | KCDH | 2025 - Present

CPI: 9.48

B.Tech in Computer Science (AI & ML)

IEM [WBUT], Kolkata | 2021-2025

CGPA: 9.37