Building backend systems, ML pipelines, and intelligent APIs. Passionate about turning data into decisions and ideas into products.
I'm a Computer Science undergraduate at Parul University (B.Tech, 2027) with a deep interest in AI/ML systems and backend engineering. I enjoy building things that are clean, purposeful, and production-ready.
My work spans RESTful APIs, authentication systems, ML inference pipelines, and RAG-based chatbots. I care about code that is readable, tested, and built to scale.
Currently learning LangChain, HuggingFace, and MLOps while working towards my first SDE internship. I believe in learning by shipping.
ML inference API trained on the California Housing Dataset. Exposes a POST /predict endpoint taking 8 housing features and returning a predicted median house value. Modular FastAPI structure with Pydantic schemas and joblib model serialisation.
Backend service that dynamically routes user requests to internal tools using structured function-calling logic. Enforces schema validation, manages request-response flows, and is fully extensible — new tools register without modifying core routing logic.
MERN stack application for creating, updating, and tracking tasks with secure authentication. RESTful APIs via Node.js/Express, MongoDB data persistence, and a responsive React frontend with component-based state management.
End-to-end analysis pipeline on a real-world sales CSV dataset. Data cleaning, exploratory analysis, trend detection, and publication-quality visualisations using Matplotlib and Pandas.
RESTful API built with Flask supporting full Create, Read, Update, and Delete operations. Clean route organisation, request validation, and correct HTTP status code usage throughout.
Login authentication application in Java that verifies user credentials against a MySQL database using JDBC. Demonstrates prepared statements and secure credential handling.
Open to internships, collaborations, and interesting projects. Don't hesitate to reach out.