Featured Work

Network Security System - MLOps Project screenshot

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.

Tech Stack:
Python logo AWS logo Docker logo FastAPI logo Scikit-learn logo MLflow logo GitHub Actions logo
PyTorch FoodVision Mini screenshot

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.

Tech Stack:
PyTorch logo FastAPI logo Flask logo Python logo TensorBoard logo
AWS SageMaker ML Pipeline screenshot

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.

Tech Stack:
AWS SageMaker logo Scikit-learn logo AWS S3 logo Python logo AWS logo
Text Summarizer Using HuggingFace Transformers screenshot

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.

Tech Stack:
HuggingFace Transformers logo PyTorch logo FastAPI logo Docker logo Python logo Weights & Biases logo
Student Performance Prediction System - End-to-End ML Engineering Project screenshot

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.

Tech Stack:
AWS logo Python logo Flask logo Scikit-learn logo Pandas logo NumPy logo AWS EC2 logo AWS Elastic Beanstalk logo
Multi-Agent Financial AI System screenshot

Multi-Agent Financial AI System

Built a multi-agent AI system using Groq and the Agno framework to automate comprehensive stock analysis. The system orchestrates specialized agents for financial data retrieval and web research to deliver synthesized, actionable insights in seconds.

Tech Stack:
Python logo Agno logo Groq logo FastAPI logo
Video Summarizer: An Agentic AI Approach with Google Gemini screenshot

Video Summarizer: An Agentic AI Approach with Google Gemini

An intelligent AI agent that provides deep analysis of video content. It uses Google's multimodal Gemini model to understand video and the `Agno` framework to autonomously perform supplementary web research, delivering insights that go far beyond simple summarization.

Tech Stack:
Python logo Streamlit logo Google Gemini logo Agno logo