I am a passionate and dedicated Computer Science and Engineering student with a strong foundation in programming, particularly focused on mastering the MERN stack. I have hands-on experience with technologies such as React, Redux, Express.js, Node.js, and MongoDB. My projects include building full-stack applications with sophisticated state management and backend APIs. I am skilled in using Material-UI for frontend design and have experience in structuring Express.js applications for better scalability and maintainability.
I have explored various aspects of software development through self-learning, particularly through platforms like Udemy and FreeCodeCamp, which has sharpened my skills in web development. Additionally, I have a solid understanding of SQL, specifically joins, and have worked with MongoDB extensively, covering CRUD operations, indexing, aggregation, and Mongoose ODM.
I am continuously honing my skills to become a proficient MERN Stack developer.
Developed a tool that transforms resumes into responsive portfolio websites using React.js, Node.js, and TailwindCSS.
Enabled real-time live previews and seamless user experience.
Backend supports file uploads, data extraction, AI interaction, deployment, and email notifications.
Mars Explorer
Integrated NASA’s Open API to display real-time Mars rover images.
Built with React.js and Material-UI for a responsive design.
Mars Curiosity Rover Exploration Website
Developed an interactive web application showcasing images captured by NASA's Mars Curiosity rover. Integrated NASA APIs to fetch and display real-time rover data. Technologies: React.js, NASA APIs, Axios, Material-UI.
API CRUD Operations Implementation
Designed RESTful APIs with full CRUD functionality for user profile management, implemented JWT Authentication, and improved API response time by 30% through database query optimization. Technologies: Node.js, Express.js, MongoDB, Postman.
Attendance System Using Face Recognition
Built a face-recognition-based attendance system using SVM classification and Haarcascade face detection. Integrated a Caffe model for enhanced detection accuracy and used imutils for image processing. Used pickle to save and reload trained models. Technologies: Python, OpenCV, SVM, Caffe Model.
COVID-19 Data Analysis
Analyzed COVID-19 data to identify vaccination trends and case distributions. Created Power BI visualizations highlighting positive and negative cases and state-wise statistics. Technologies: SQL, Power BI.