Shaun Joe Roy
Software Engineer | Computer Vision Enthusiast | High-Performance Computing Enthusiast
Engineer with specialization in deep learning architecture, autonomous systems, and high-performance GPU-accelerated computing. Specializing in software for embedded systems, GPU-accelerated computing using CUDA and Vulkan. Experienced in machine learning applications and Computer Vision, With a strong background in aerospace defense technology and simulation-based solutions work focuses on creating autonomous systems, with a keen interest in computer architecture and OS-level systems engineering.
"Learning to see the world through data, one pixel at a time."
Our advanced heart health assessment tool, built using machine learning techniques, aims to provide a comprehensive analysis of an individual's cardiovascular health. The tool employs the KNN (K-Nearest Neighbors) algorithm, a powerful and versatile machine learning technique, to accurately predict an individual's risk of developing heart diseases.
Forage DB is a lightweight, command-line-based database system designed to simulate relational databases. Its modular architecture allows for smooth management of tables and records while ensuring data persistence.
The Image-Based Search Engine project allows users to upload images, which are then analyzed for descriptive tags using Azure's Computer Vision service. The system searches for similar images in an Azure Search Index and displays results, including images and their descriptions, to the user.
The application uses state-of-the-art NLP models for summarization and various web scraping techniques to ensure the accuracy of the summaries.