B.Tech CSE student building at the intersection of Machine Learning and Full Stack Development. Pre-final year @ BVRIT Hyderabad.
Built 3 full-stack projects — ShopEasy (e-commerce), a Social Media Platform, and a real-time Project Management Tool using Node.js, Express.js, MongoDB Atlas, and Socket.io.
Contributing to frontend and full-stack open-source projects. Submitting PRs with bug fixes and UI improvements across multiple repositories.
Conducted awareness sessions and mentored students. Developed leadership, communication, and public speaking skills.
AI-powered career roadmap generator for engineering students. Generates personalized roadmaps, named skill-gap analysis, and project suggestions using the Groq LLM API with a rule-based fallback for 100% uptime. Built solo and deployed live for a hackathon.
Crop recommendation web app for Indian farmers using XGBoost ML, NASA POWER API for satellite data, ICAR soil DB for 100+ cities, and Groq LLaMA 3.3 for AI-generated farming advice. Supports English, Telugu, and Hindi.
End-to-end ML pipeline for headphone price prediction with EDA, feature engineering, LightGBM & XGBoost models, MLflow experiment tracking, and FastAPI deployment.
Full-stack e-commerce app with category-based product display, cart management, user profiles, and MongoDB Atlas cloud storage. Built with Node.js, Express.js, and vanilla JS.
Hardware-software integrated secure access system using Arduino and fingerprint biometric sensors with real-time authentication logic.
Open to internships, collaborations, and opportunities.