Computer Science student specializing in Full-Stack Web Development and Artificial Intelligence
Results-driven Computer Science student specializing in Full-Stack Web Development and Artificial Intelligence, with hands-on experience building web applications and machine learning projects.
B.Tech, Computer Science and Engineering (AI&ML)
2022 - present
CGPA: 7.38
Class 12th
May 2022
Marks: 93.0%
Class 10th
March 2020
CGPA: 10.00
Developed a scalable Node.js, Express.js, and MongoDB backend using MVC architecture, with RESTful APIs, JWT authentication, middleware security, Multer media handling, and AWS S3 integration. Debugged edge cases and optimized database queries for improved reliability and performance.
Developed a supervised machine learning model using Python, Pandas, and NumPy to predict liver disease. Performed data preprocessing, cleaning, feature engineering, and evaluated Logistic Regression, Decision Tree, and Random Forest models with accuracy, confusion matrix, and ROC-AUC metrics.
Developed a responsive React.js application using component-based architecture and hooks, integrated TMDB REST APIs for real-time movie data, and implemented search, trending features, debouncing, conditional rendering, and efficient state updates.