FULL STACK DEVELOPER | MERN | SQL | AI-ML SPECIALIZATION | MOBILE-APP DEVELOPER
Hire MeI'm a passionate MCA student at DMIHER, with strong skills in MERN stack, SQL/NoSQL DBs, With practical experience of using AI AND ML tools-techniques and DevOps tools. I love building impactful apps and solving real-world problems.
HTML5
JavaScript
React
MySQL / MongoDB
Python
BootStrap
Android Development
Node.js
Git
Docker
AWS
CSS3
Login/Register app using React, Node, MongoDB with JWT, bcrypt, and role-based access.
Weather forecast app using OpenWeatherMap API with real-time data and location support.
A responsive restaurant landing page with menu, order now section and animations using Bootstrap.
A form validation project using HTML, CSS, and JavaScript to ensure user input is correct and complete.
An interactive admin dashboard for managing orders, products, and analytics using React and Chart.js.
A browser game to test your reaction speed using JavaScript, DOM manipulation, and timers.
A full-featured task manager built with MERN stack. Add, update, and delete your daily tasks efficiently.
Runs the DeepSeek-1.5B model completely offline ensuring data privacy with no cloud dependency. Built with Node.js (Express) backend and custom HTML/CSS frontend. Features: clean UI, smooth animations, typing indicators. Tested APIs using Postman and cURL for end-to-end validation
A computer vision project built with Python, TensorFlow, OpenCV, and Jupyter Notebook for detecting face masks in real-time video streams.
A cutting-edge AI trading bot using Reinforcement Learning (PPO) and LSTM to predict NIFTY movements and automate option trading decisions. Built with Python, Stable-Baselines3, Gym, and yFinance.
A voice-controlled AI assistant built with Python, speech recognition, and text-to-speech. It performs web searches, sends emails, and automates daily tasks efficiently.
A live-option trading bot built with Python that processes real-time market data, implements multiple trading strategies, and sends instant trade alerts via a Telegram bot.
An LSTM deep learning model trained on 28 years of NIFTY data (1996–2024) using technical indicators like RSI, CCI, Bollinger Bands, and MA. Achieved 88% accuracy in predicting UP, DOWN, and SIDEWAYS market signals.
Feel free to download my resume to know more about my education, skills, and project experience.
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