Aditya Dhamala

I’m a Computer Science and Engineering student specializing in Data Science at Vellore Institute of Technology, driven to build intelligent, scalable solutions while advancing my capabilities in AI and full-stack technologies.

In my Frontend Developer Intern role at ePrabidhi, I integrated frontend experiences with REST APIs to enable dynamic data rendering and improve application interactivity. I built responsive interfaces using HTML, CSS, JavaScript, and React.js, focusing on consistent user experience across devices.

I also developed reusable UI components using React functional components and hooks like useState and useEffect, and I debugged and optimized UI for performance, responsiveness, and cross-browser compatibility—so features don’t just work, they feel fast and reliable.

My projects sharpen my ML and AI instincts: I built a Parkinson’s Disease prediction model using biomedical voice measurements with SVM, Random Forest, and k-NN, and I developed DeepGuard, an AI-driven deepfake image detection system using CNN and FFT-based forensic features with explainability via Grad-CAM.