Full Stack Developer with a strong foundation in AI and Machine Learning, focused on building intelligent and scalable web applications. Passionate about solving real-world problems through clean code, innovation, and continuous learning.
👩💻 Full Stack Developer & AI/ML Enthusiast
Hey! I'm a B.Tech graduate in Computer Science (AI & ML) with a proven track record of building impactful, real-world technology solutions. I specialize in Full Stack Development and enjoy creating scalable, user-friendly web applications that make a difference.
Alongside web development, I have deep hands-on experience in Artificial Intelligence and Machine Learning — from building CNN-based deep learning models for medical imaging to integrating them into production Flask applications. I am a problem-solver at heart, always eager to learn and explore new technologies.
With internships at CODTECH IT Solutions, SkillDzire, and Huebits Tech Pvt. Ltd., I've gained real-world exposure across the full development lifecycle.
A CNN-based deep learning system that classifies diabetic retinopathy from retinal fundus images into 5 severity levels using the APTOS 2019 dataset. Integrated into a Flask web app for real-time prediction.
A Python-based Sudoku solver using the backtracking algorithm with recursive depth-first search. Implements constraint propagation and input validation to handle edge cases gracefully.
Designed and deployed a fully responsive portfolio website showcasing projects, skills, and certifications with smooth animations and a mobile-first layout. Hosted on GitHub Pages.
A machine learning model that classifies emails as spam or ham using NLP techniques. Implements feature extraction, text preprocessing, and trained classification algorithms for high accuracy.