I am a Computer Science undergraduate at Maharaja Agrasen Institute of Technology, Delhi, pursuing a specialization in Artificial Intelligence and Machine Learning. Alongside my academic foundation, I actively work on Data Structures and Algorithms using C++, while exploring the practical side of software engineering and intelligent systems.

As a budding AI/ML engineer, I have worked across diverse domains including Computer Vision, IoT, Retrieval-Augmented Generation (RAG), Large Language Models, Healthcare AI, and Neural Networks. My experience spans the full development lifecycle—from building machine learning models to deploying scalable applications using technologies such as MERN, React Native, MLOps, and Agentic AI frameworks.

My projects include Vulture, a cross-regulatory drug safety intelligence platform; a Multi-Camera Player Re-Identification System for sports analytics; an AI-based Remaining Useful Life (RUL) prediction system integrating hardware and machine learning; CVAlign, a RAG-powered CV evaluation platform; and UTSP, an unsupervised Graph Neural Network approach for solving the Traveling Salesman Problem.

I enjoy working with ambitious teams, researchers, and builders who are driven by curiosity and a desire to create meaningful technology. I am particularly interested in opportunities that combine research, engineering, and product development, where continuous learning, experimentation, and solving challenging problems are part of the culture. My long-term goal is to deepen my expertise in Artificial Intelligence while contributing to impactful systems and products that solve real-world problems.