A Computer Science student proficient in C++, Python, SQL, Python, SQL, and full-stack development, with experience in AI-driven solutions, data analysis, and Salesforce. Passionate about building innovative, user-focused applications.
Featured Projects
Developed a Fullstack Course Selling App using MERN, enabling admin role management and user functionality
Developed an interactive dashboard analyzing sales data for 1,000+ transactions across 3 branches, providing insights into sales trends, customer demographics, and product performance.
Built a loan repayment prediction model using 9,579 records, achieving 85% accuracy.
Created a responsive coffee shop website using Tailwind CSS and Flowbite, streamlining development with reusable components.
Engineered and implemented a deep learning model using MobileNetV2 architecture, achieving 70.62% accuracy by training on a dataset of 5000 images across 5 classes..
Developed a Driver Drowsiness Detection System using Python, OpenCV, and TensorFlow, employing a pre-trained CNN model for real-time eye state classification (’Open’ or ’Closed’) at 30 FPS.
Work Experience
Full-Stack Intern
SinQlarity
January 2025 - Present
Collaborating as a Full-Stack Intern, completing structured modules to strengthen expertise in front-end and back-end development.

Salesforce Developer Virtual Internship
SmartInternz
July 2024 - August 2024
8-week internship involving 30 hours of live training. Completed 50 hours of self-paced learning on the Salesforce Trailhead platform. Designed custom apps using Apex programming language along with Visualforce pages and Lightning components.
