Developer & Machine Learning Enthusiast
I'm a developer and machine learning enthusiast passionate about solving real-world problems through clean and scalable code. I enjoy creating data-driven and full-stack applications — from intelligent systems to tools that make life easier. My core strengths lie in Python, C++, and modern web technologies.
Resume : click here
🚀 Open to Work - Remote & Onsite Opportunities
A full-stack web application for conducting online auctions with user authentication, real-time bidding, and comprehensive dashboard analytics. Features secure JWT-based login, auction creation and management, bidding history, dark/light theme toggle, and responsive design.
A competitive programming reminder app that tracks contests from multiple platforms like Codeforces, CodeChef, and LeetCode. Includes streak maintenance, custom reminders, performance analytics, and motivational streak tracking.
Machine learning-based web app that predicts flight fares with 85% accuracy. Features a clean Flask UI, data preprocessing (cleaning, encoding, scaling), and performance metrics using MAE, RMSE, and R² scores.
Built a sentiment classification model using pre-trained BERT transformers with 92% accuracy. Fine-tuned models using PyTorch and HuggingFace libraries with an advanced NLP preprocessing pipeline.
A custom Linux shell built using C++ OOP concepts, STL, and templates. Optimized for concurrent process handling, system command execution, and modular scalability for future extensions.
A MERN-based contact management app with regex search and real-time updates. Allows adding, editing, and deleting contacts with a responsive, modern interface.