This section showcases my key projects in Artificial Intelligence, Machine Learning, and Software Engineering, highlighting practical applications of research, model development, and real-world problem solving.
PublishedAn enhanced weakly supervised learning framework using EfficientNet-B0 with a regression head for accurate 3D hand joint prediction from RGB images, effectively leveraging limited annotated data.
PublishedA CAM-guided weak supervision framework for object detection using Grad-CAM and YOLOv8, enabling accurate object localization and detection with minimal labeled data.

An intelligent document processing solution for automatically classifying insurance documents and extracting structured information from EOBs and related insurance records.
Developed AI-powered recovery support modules and an intelligent AI Companion that provides personalized guidance, contextual conversations, and emotional support for individuals recovering from substance addiction.
Developed an AWS Bedrock-powered pipeline for generating QuickSight calculated fields using Claude LLM and implemented automated feedback analysis workflows for business intelligence systems.
Developed an intelligent recommendation system for a social networking platform that connects users with like-minded individuals through interest similarity, behavioral patterns, and location-based matching algorithms.

A Conversational Management Robot, which analyze and regulate conversational patterns to ensure equitable participation and enhance engagement.

A computer vision-based accessibility solution that enables hands-free computer interaction by tracking eye movements through a webcam and translating them into mouse cursor actions.
Developed an interpretable machine learning model for fraud detection and credit risk scoring, enabling identification of high-risk customers and reducing potential financial losses.