Lorenzo Paul

I am an enthusiastic and detail-oriented B.Tech Computer Science (AI & ML) student with a strong foundation in machine learning, deep learning, and data analysis. Proficient in Python, TensorFlow, and data preprocessing, I am passionate about solving real-world problems using AI-driven solutions. Seeking opportunities to apply my technical skills and contribute to innovative projects in the tech community.

• Getting Started with Deep Learning- NVIDIA
• Networking Basics -CISCO Networking Academy

Image Enhancer: A GPU-Accelerated Image Processing Tool

• Developed a high-performance image processing application with GPU acceleration using PyCUDA, achieving 40% faster processing speeds compared to CPU-only implementations
• Implemented real-time filters (brightness/contrast adjustment, edge detection, sharpening) with a user-friendly Tkinter GUI, enabling seamless image uploads, edits, and exports

Brain Tumor Detection System

• Developed an AI-powered diagnostic system using deep convolutional neural networks (U-Net) to detect brain tumors in MRI scans with 92% accuracy, reducing manual analysis time by 70%
• Implemented pixel-wise segmentation with U-Net architecture (TensorFlow/Keras) to classify tumor regions (enhancing/non-enhancing, edema), and calculate tumor volumes