About

Hey there! I'm Patrick, a solution architect and technical leader with a passion for all things AI.

For the past 10+ years, I've been diving headfirst into the world of deep learning, computer vision, and building scalable AI solutions. I've had the privilege of working on exciting projects like AI-powered rider assistance systems, mobile scanning platforms for AR/VR, and most recently, leading the integration of agentic AI and real-time data streaming at enterprise scale.

A significant portion of my career was dedicated to environment perception and SLAM for autonomous driving. This deep dive into autonomous systems gave me a unique perspective on the challenges and opportunities of AI at the edge. Now, I'm focused on helping organizations bridge the gap between cutting-edge AI research and production-ready systems—whether that's through MLOps, event-driven architectures, or enabling teams to move from pilots to scale.

I believe that sharing knowledge is key to progress. Here, I curate insights from industry leaders, research, and my hands-on experience. I cite my sources and add context from real-world deployments—whether it's integrating real-time streaming, scaling edge AI systems, or building governance frameworks for next-generation AI agents. My goal is to make complex concepts practical and actionable for teams navigating AI transformation.

I'm particularly excited about AI at the edge, real-time data architectures, and the potential to revolutionize industries by bringing AI closer to the data source. By sharing experiences, insights, and best practices, including lessons learned from both successes and failures, I hope to help others move faster from concept to production.

Whether you're a seasoned AI pro or just starting out, I hope you'll join me on this journey. Let's explore the world of AI together, one blog post at a time.