Manitej Budigini

I've built HeartLink AI, a full-stack disease prediction platform using Flask, Scikit-learn, Random Forest, OpenCV, and Tesseract OCR, achieving 90% model accuracy. I also developed secure RBAC and analytics capabilities for healthcare workflows during my AI internship at Infosys.

As a Research Intern at the National Institute of Technology, Andhra Pradesh, I'm researching self-supervised and few-shot learning for medical image classification, including fundus image analysis and OCR-based document understanding. My work includes studying and reproducing frameworks such as SimCLR, DINO, and RotNet.

I've also created a Power BI dashboard analyzing 8,800+ Netflix records and Streamify, a real-time video and chat application built with React, Stream SDK, Zustand, and Vite. I'm seeking software engineering internship opportunities where I can contribute to product-focused teams and solve real-world problems through technology.