AI/ML Engineer
AI/ML Intern
M.Tech Data Analytics @ IIT (ISM) Dhanbad
Specializing in:
|Building intelligent AI systems with Deep Learning, Federated Learning, and Generative AI
I'm an AI/ML Intern and M.Tech Data Analytics student at IIT (ISM) Dhanbad, driven by a passion for building intelligent AI systems and privacy-preserving machine learning frameworks.
My research focuses on Heterogeneous Architecture Split Federated Learning, exploring distributed AI training with adaptive model partitioning and privacy-preserving learning techniques.
I combine strong mathematical foundations with practical software engineering to develop real-world AI solutions in Deep Learning, Computer Vision, and Large Language Models.
Indian Institute of Technology (ISM) Dhanbad
Visva-Bharati University
Ramakrishna Mission Vivekananda Centenary College
Heterogeneous Architecture Split Federated Learning
An advanced distributed machine learning framework designed for heterogeneous environments where clients have varying computational capabilities and neural network architectures.
Privacy-preserving distributed AI
Heterogeneous client architectures
ResNet/MobileNet/CNN support
Multi-head server architecture
UCB-based dynamic split layer selection
Async FedProx aggregation
Advanced Split Federated Learning framework for heterogeneous AI environments with privacy-preserving distributed training.
AI-powered chest X-ray analysis assistant helping radiologists generate faster medical reports with disease predictions.
Private AI chatbot system using locally deployed LLM models with secure authentication and FastAPI backend.
Qualified
Qualified
Qualified