Sri Nidhi Kuchana

Hi! 👋 I'm Sri Nidhi Kuchana, a third-year Computer Science Engineering student at Malla Reddy Engineering College for Women, passionate about Software Engineering, Artificial Intelligence, Machine Learning, and Full Stack Development. 🚀 Professional Experience I completed the Major League Hacking (MLH) Production Engineering Fellowship in collaboration with Meta, where I gained hands-on experience in production engineering practices, collaborative development, and building real-world applications. My experience also includes working as an AI Engineer Intern at MetaTaaraka AI Innovations, a Full Stack Developer Intern at Thiranex, and an AI & Data Analytics Intern at Edunet Foundation. 💻 Projects & Technical Expertise I've developed several projects combining AI, machine learning, and software development, including: - AgriSat: AI-powered crop monitoring and irrigation advisory using satellite imagery, remote sensing, and LLMs. - GitHub Issue Solver: An LLM-powered application that analyzes GitHub issues and generates intelligent fix suggestions. - Voice Command Assistant: A speech recognition and emotion detection system using Whisper and NLP. - EV Type Predictor: A machine learning classification model achieving 99% accuracy. 🏆 Achievements - MLH Production Engineering Fellow — Meta & Major League Hacking - 6th Place — Smart India Hackathon 2026 Internal Hackathon - 500+ coding problems solved on CodeChef - 5⭐ HackerRank Problem Solving - 100+ LeetCode problems solved - Qualified for Round 2 of Flipkart Gridlock Hackathon 2.0 🛠️ Technical Skills Python | Java | C | DSA | OOP | AI/ML | NLP | LLMs | HTML | CSS | JavaScript | MySQL | Git | GitHub | REST APIs 🌱 I'm continuously exploring Generative AI, software engineering, and scalable applications while strengthening my problem-solving and development skills. I'm open to software engineering internships, AI/ML opportunities, research collaborations, and meaningful open-source contributions.