A passionate full-stack developer from India specializing in the MERN stack. I thrive on building responsive, scalable, and intuitive digital experiences. My core mission is to transform complex ideas into elegant, high-performance web applications.
- 🎓 Currently augmenting my knowledge base with a Master's in Computer Applications at Birla Institute Of Technology, Mesra.
- 🔭 Actively engineering projects such as Streamy, a full-stack video hosting backend, pushing the boundaries of media delivery.
- 💡 Architecting dynamic user interfaces with
React.js/Next.jsand forging robust, high-availability APIs withNode.js/Express.js. - 🤝 A dedicated open-source contributor, focused on performance optimization, security enhancements, and collaborative innovation.
- 💬 Engage with me on topics spanning web architecture, advanced JavaScript paradigms, or cutting-edge open-source initiatives!
Languages & Syntax Engines:
Frameworks & Libraries (Architectural Constructs):
Data Hubs & Persistent Storage:
Development Tools & Operational Systems:
Streamy (Decentralized Media Hub)
- **Description:** A robust backend for a YouTube-like platform, supporting advanced video processing, dynamic comments, user-centric interactions (likes/dislikes), and a scalable subscription framework. - **Technology:** Engineered with `Node.js`, `Express.js`, `MongoDB` for data persistence, and `Mongoose` for object data modeling. - **Features:** Implemented secure, token-based authentication using `JWT` and `Bcrypt` for enhanced user privacy, integrated with a dynamic subscription system enabling diverse content delivery models.
Synaptic Health Gateway (AI-Powered Wellness System)
- **Description:** A full-stack AI-driven application designed to analyze and classify mental health statements into five distinct conditions with a predictive accuracy of 91%. - **Technology:** Frontend interfaces crafted with `Next.js (TypeScript)` and styled using `Tailwind CSS`, featuring interactive user experiences powered by `Framer Motion`. The intelligent backend processing unit utilizes a `BERT` model for sophisticated natural language understanding. - **Features:** Incorporates a dynamic, real-time dashboard for intuitive visualization of assessment outcomes, promoting higher user engagement and insightful data interpretation.