P R O J E C T S
Interactive Spam Detection AI System
Built an AI system capable of training and evaluating spam detection models.Implemented model accuracy tracking and evaluation dashboards.Added data drift monitoring to detect changes in message distributions.Enabled dynamic model retraining with updated datasets.
Spam Detection MLOps Pipeline
Developed a production-ready NLP classifier with a full MLOps lifecycle. Implemented DVC for data versioning and MLflow for experiment tracking and model registry. The system features a high-performance FastAPI backend providing real-time inference for spam classification.
Task Manager (DevOps Practices)
In this project, I built a Task Manager web application following DevOps best practices. The app allows users to create, update, and track tasks efficiently. It features automated deployment pipelines, containerization with Docker, and CI/CD integration using GitHub Actions. Technologies used include Node.js, Express.js, MongoDB, and Docker.