I've built backend REST APIs and Generative AI applications using Node.js, Express.js, MongoDB, Python, and Docker.
For a URL Shortener, I created a Node.js and Express service that generates unique 8-character IDs, redirects users, and tracks click counts in MongoDB. I structured it with an MVC-style architecture and environment-based credential configuration.
I also developed SUMMYT, an AI YouTube Analyzer that uses the Gemini 1.5 Flash API to generate structured bilingual English and Hindi summaries from YouTube transcripts. I containerized the application with Docker and Docker Compose.
Through the Google AI-ML virtual internship, I trained image-recognition models for an automated visual search feature. My foundation includes data structures and algorithms in C++ and Python, alongside backend and API development.
