🔭 I recently earned my Master of Science in Data Science at Minnesota State University, Mankato. My research focuses on real-time AI applications, computer vision, and generative AI. Notably, I developed a custom convolutional neural network (CNN) with spatial attention for sidewalk snow detection, optimized for real-time performance on mobile devices. I also explored the evaluation of Generative Adversarial Networks (GANs) using Signed Inception Distance (SID) and Fréchet Inception Distance (FID), contributing to the assessment of generative model quality.

🌱 I’m currently exploring federated learning, small language models, and reinforcement learning to expand my expertise in scalable AI solutions. My interests also include multi-modal AI and diffusion models for advanced image synthesis.

👯 I’m looking to collaborate on AI projects involving federated learning, real-time applications, and generative modeling. I thrive in cross-disciplinary teams and enjoy contributing to cutting-edge research and practical AI implementations.

🤝 I’m open to discussing research opportunities in autonomous systems, edge AI, and generative AI applications. I am also interested in scaling AI models efficiently for deployment on resource-constrained devices.

📝 I share insights on AI, deep learning, and research methodologies at https://medium.com/@ricodedeijn

💬 Ask me about developing real-time AI applications, optimizing deep learning models for edge deployment, or my work in generative AI evaluation.

📫 Reach me at [email protected]

⚡ Fun fact I biked up 'Mont Ventoux' in France during a charity event supporting Multiple Sclerosis (MS) research, blending my love for adventure with a cause that matters.