Featured Work
Network Security System - MLOps Project
Developed a production-ready MLOps pipeline to detect malicious URLs, featuring a fully automated CI/CD workflow with GitHub Actions and Docker. The system trains, validates, and deploys a machine learning model, serving predictions via a containerized FastAPI application on AWS EC2.
PyTorch FoodVision Mini
An end-to-end MLOps project that refactors a PyTorch research notebook into a production-ready system. This project features robust experiment tracking with TensorBoard and serves an image classification model through two interactive web applications built with both Flask and FastAPI.
AWS SageMaker ML Pipeline
An end-to-end ML pipeline built on AWS SageMaker to demonstrate a real-world, cloud-native workflow. This project trains, deploys, and serves a scikit-learn model for mobile price classification, bridging the gap between local development and scalable MLOps.
Text Summarizer Using HuggingFace Transformers
An end-to-end MLOps project that fine-tunes a HuggingFace Pegasus model for conversational text summarization. The entire system is containerized with Docker and served via a high-performance FastAPI backend, demonstrating a complete production-ready workflow.
Student Performance Prediction System - End-to-End ML Engineering Project
Developed a full end-to-end machine learning pipeline to predict student math performance from raw data. The project features a modular, production-ready architecture that trains the best regression model and serves predictions via a Flask web application deployed on AWS.
