I am a Computer Science Engineering undergraduate with a strong interest in data-driven problem solving and applied machine learning.
I have worked on end-to-end machine learning projects involving exploratory data analysis, classical ML models, neural networks, and model evaluation. Recently, I built an AI-powered campus assistant that leverages large language models and retrieval-based techniques to provide context-aware responses.
My primary focus areas include Data Structures and Algorithms, machine learning fundamentals, and building practical systems that translate theory into working solutions. I value clean code, clear reasoning, and a strong understanding of core computer science concepts.
I am continuously improving my technical depth through hands-on projects, structured learning, and consistent practice.
