I am an undergraduate student in Computer Science and Engineering with a strong foundation in software systems and a research interest in generative models, computer vision, and deep learning.

My current academic and research work focuses on image-based learning, including caricature generation, where I explore deep learning methods for representation learning and visual transformation. I've gained hands-on experience applying deep learning techniques in practical settings and turning research prototypes into robust systems.

Over the past few years, I've built a strong foundation in algorithms and data structures through competitive programming—solving 1500+ algorithmic problems across platforms like Codeforces (Specialist), LeetCode (Top 13.82%), and CodeChef (3★). I've also represented my university in multiple national-level programming contests, which has strengthened my ability to reason rigorously and deliver high-quality code under pressure.

Alongside my projects, I bring solid full-stack software engineering experience with backend development using Node.js, Express, and MongoDB, and frontend development using React. This allows me to design, implement, and deploy complete, scalable web applications and applied machine learning systems end-to-end.

I am actively seeking Ph.D. or M.Sc. research positions where I can contribute to advancing the state of the art in computer vision, generative modeling and collaborate with faculty on high-impact, publication-driven research.