Building production AI systems for enterprise, from computer vision pipelines to meeting intelligence to workflow automation.
🔐 Something new in the MCP ecosystem : An open-source runtime intelligence layer for Model Context Protocol. Focused on data flow visibility, sensitive data classification, and compliance evidence generation for AI agent workflows. Built for teams that need to prove what their agents are doing with data.
🏗️ Orchestrator AI : Deploying production AI systems across energy, insurance, and construction verticals. Computer vision, project intelligence, process automation, and system architecture design — built on the Anthropic and Gemini ecosystems, shipped to enterprise clients.
👁️ Computer Vision R&D — Working through Szeliski's Computer Vision: Algorithms and Applications while building production CV pipelines for industrial infrastructure inspection.
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🏢 CTO & Co-Founder — Orchestrator AI Systems (Current)
Co-founded a commercial AI company deploying production systems to enterprise clients across energy, insurance, and construction. Built the full technical stack from scratch, CV pipelines, project intelligence, workflow automation, compliance infrastructure. Pursuing SOC 2 Type II certification and Anthropic enterprise partnership.
⌚ Software Engineering Intern — Garmin (2023–2024)
Built config-driven automated build systems for embedded C/C++ on Linux. Reduced regression testing time by 60%, memory overhead by 20%. Worked with Zuul, Ansible, Gerrit, Jenkins, JLink debuggers, and logic analyzers. Built a C# ASP.NET framework for hardware dev board testing that cut manual work by 50%.
🚀 Project Manager & Software Division Lead — Schulich Space Rover Team
Led development of multi-camera TCP/SSL feeds, RTK-based navigation, wireless networking with Ubiquiti, and a React + Next.js real-time rover tracking app. Built caching systems with Redis and WebSockets for offline map availability in field operations.
🎓 BSc Software Engineering — Schulich School of Engineering, University of Calgary (GPA 3.43)
Engineering Leadership Certificate · Building Scalable Java Microservices (Google Cloud / Coursera)
📸 8 years professional photography — developed a sharp eye for composition, detail, and visual storytelling that now informs how I design products and user experiences.
I think native beats cross-platform for hardware-intensive apps. I think compliance should be a product, not an afterthought. I think the best AI tools are the ones that make the human's job easier without hiding what they're doing. I think MCP is going to be as important as REST APIs, and the ecosystem needs better infrastructure before enterprises can trust it.