prajwal raj

I’m a B.Tech student in Artificial Intelligence and Data Science at Sri Krishna College of Engineering and Technology, with a CGPA of 8.92 and a strong foundation in data analysis and machine learning.

As a Research Assistant at Universiti Teknologi PETRONAS (UTP), Malaysia, I’m researching deep learning–based segmentation and data extraction from Glioma MRI scans. I implement CNN and U-Net architectures to improve tumor detection accuracy, and I handle MRI preprocessing with Python, OpenCV, and NumPy while collaborating to analyze results and document findings.

I build full-stack, applied AI systems too—winning a Smart India Hackathon 2025 for a blockchain-based academic credential verification platform using Hyperledger Fabric, Node.js, REST APIs, SHA-256, and digital signatures. I also led a Disaster Management system using React.js and Java Spring Boot, and I developed LogousRAG, an LLM-powered RAG pipeline with Pinecone and GPT-4o for insurance clause extraction, including layout-aware parsing with Donut/LayoutLMv3 and a reported 35% inference cost reduction. I’ve published AI-Integrated Hospital Management Systems and hold Infosys AIFoundation, AWS Cloud Practitioner, and Microsoft Azure Fundamentals (AZ-900) certifications.