I'm a pre-final year student at SSN College of Engineering, passionate about building beautiful and intelligent applications. My interests lie at the intersection of Frontend Development, Machine Learning, and Natural Language Processing.
- ย Studying Computer Science and Engineering.
- ย Exploring cutting-edge technologies to solve real-world problems.
- ย Open to collaborating on projects and innovative ideas.
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Frontend Developer | April 2025 โ Ongoing
A high-security, multi-mode attendance tracking system designed to streamline academic workflows and eliminate proxy attendance. AttendEz supports QR, numeric code, and manual attendance modes with HMAC-based security and live validations. Designed to reduce marking time by 35%+ and eliminate faculty overhead through smart grouping and contextual alerts.
๐น My Role & Contributions:
- Led the development of the cross-platform frontend using React, building a responsive and intuitive interface for students and faculty.
- Built a responsive web application to view live attendance status, access role-based dashboards, and receive real-time notifications.
- Implemented React Navigation for smooth, role-aware screen transitions and managed application state efficiently.
- Designed reusable components following best UI/UX practices for a clean and maintainable codebase.
๐ ๏ธ Tech Stack:
๐ Status: Codebase to be open-sourced post-deployment.
Full Stack Developer | December 2024 โ March 2025
A web-based platform enhancing teaching and learning through AI-driven transcription, summarization, quiz generation, performance analytics, and a RAG-based chatbot. Enabled teachers to upload lectures, auto-generate content, and review student performance, while students received personalized feedback.
๐น My Role & Contributions:
- Built both the frontend (React) and backend (Spring Boot), creating a seamless end-to-end user experience.
- Integrated a Flask microservice for LLM-powered features like transcription, summarization, and a RAG chatbot.
- Implemented role-based dashboards, lecture upload/processing pipelines, and automated quiz/feedback modules.
๐ ๏ธ Tech Stack:
Thanks for stopping by! Feel free to reach out if you want to connect or collaborate.

