At Indian Institute of Technology (IIT) Bombay, I engineered a multi-class brain tumor classification system using a custom CNN, achieving 92.1% validation accuracy. I also developed preprocessing and augmentation methods that reduced overfitting.
For NeuroVision AI, I created a medical AI platform combining tumor classification, U-Net segmentation, explainable AI, and a RAG-based report generator. Its segmentation model achieved a Dice Coefficient of 0.87, and its RAG pipeline drew on oncology papers and WHO guidelines.
I’ve also built a movie recommendation system and a traffic congestion prediction system, and designed an autonomous fire-fighting robot. I’m studying Electronics and Telecommunications at Pune Vidyarthi Griha's College of Engineering and Technology.
