CS undergrad at JIIT — building at the intersection of data science, backend systems, and applied engineering. I turn complex problems into clean, working software.
I'm a computer science undergrad at Jaypee Institute of Information Technology with a drive to build software that actually matters. My work spans data analytics, backend architecture, and systems programming.
From predicting lifestyle disease risk to simulating disaster response workflows — I gravitate toward problems with real-world stakes. I care about systems that are efficient, well-designed, and maintainable.
Currently sharpening my skills across Python, C++, Node.js, and databases while exploring machine learning applications and distributed systems.