Automated Data Labeling (Azure, React, Next.js, MongoDB)
- Developed an Azure-based ML system for automated data labelling in mortgage loan applications.
- Implemented the Feedback Loop concept to enhance labelling prediction accuracy.
Mortgage Loan Processing (Angular, Spring Boot, MySQL, DataRobot)
- Designed and developed a web application for mortgage application risk prediction.
- Utilized DataRobot's ML capabilities for accurate risk assessments, streamlining the loan approval process.
Video Analytics (Hackathon Project) (Azure Video Indexer, React, Node.js, Java, MySQL)
- Led development of a video analytics system for real-time event detection in banking environments.
- Implemented Azure Video Indexer and a full-stack solution for monitoring ATMs.
Loan Document Repository (Express.js, Banking Regulations Compliance, Document Security)
- Led the development of a secure backend application for managing loan documents.
- Ensured compliance with banking regulations and implemented SHA-256 encryption for security.
HARVIS: A Web App for Banking-Practice (MongoDB, Express.js, React, Node.js)
- Contributed to the development and upgrade of a web application for the Banking-Practice team.
- Enhanced scalability and user experience by migrating to the MERN stack.
Multi-Category Recommendation System (Python, Flask, TensorFlow, Keras, Librosa, APIs)
- Developed a web-based recommendation engine for books, movies, and music using Python and Flask.
- Integrated machine learning models and APIs for personalized user suggestions.