I’m a final-year Computer Science student with a strong passion for solving real-world problems through technology. My journey began with curiosity for how systems work and grew into a full-fledged commitment to software development, UI/UX design, and building impactful digital solutions.
One of my most exciting projects was a Plant Disease Detection system trained on 55,000+ images across 14 crops and 39 diseases. I implemented this using deep learning models like CNN, ResNet18, MobileNetV2, and EfficientNetB0, leveraging tools such as Python, PyTorch, Flask, and Google Colab. This project sharpened both my technical skills and my ability to work on complex, end-to-end systems.
I have a solid understanding of Computer Science fundamentals including Data Structures and Algorithms, DBMS, Operating Systems, and Computer Organization. I actively participate in coding challenges and enjoy breaking down complex problems into scalable, efficient solutions.
With experience in frontend technologies (HTML, CSS, JavaScript) and a growing interest in backend development and system design, I aim to become a well-rounded full-stack developer. I’m also deeply interested in user experience design and enjoy bringing ideas to life through clean, responsive interfaces.
Beyond technical skills, I bring a collaborative mindset, a keen eye for detail, and a drive to continuously learn and grow. Whether it’s contributing to open-source, exploring new frameworks, or collaborating on team projects, I believe in the power of consistent effort and shared growth.
I’m excited about the future and eager to contribute to innovative teams where I can learn, solve problems, and make a meaningful impact through technology.