
A passionate Computer Science graduate with a strong foundation in software development, web technologies, and data structures. Eager to contribute my technical skills in a dynamic, collaborative environment while continuously learning and growing. Seeking opportunities to work on challenging projects that make an impact.
Paper publication in IEEE during B.Tech
1.Ckd prediction using gcn-svm hybrid model, built a gcn-svm model for early detection of chronic kidney disease Achieved 98.75% accuracy using graph-based feature extraction and SVM classification, Python, PyTorch, Scikit-learn. 2.An approach to detect diabetic retinopathy using GNN, used GNN and CNN to detect diabetic retinopathy from fundus images Achieved 97.05% accuracy and aimed to reduce workload for healthcare professionals.
Java Developer, Infotrixs, 01/2024, Developed a task management tool to create, assign, and track tasks., Focused on back-end development and enhancing task tracking system.