
1
1
Canada
3+ years of experience
Electrical Engineer, AI Systems Engineer, and founder passionate about designing intelligent systems that solve complex engineering problems through first-principles thinking, software architecture, and multi-agent AI orchestration. My work focuses on building AI engineering platforms that coordinate research, planning, software development, verification, testing, documentation, deployment, and continuous improvement through specialized collaborating agents. Rather than viewing AI as a single assistant, I see it as an engineering organization whose strengths emerge through thoughtful orchestration, governance, and validation. I enjoy designing scalable, maintainable, and reliable systems with an emphasis on software architecture, engineering standards, modularity, security, and long-term sustainability. My interests span AI agents, distributed systems, simulation, robotics, workflow automation, virtualization, prompt engineering, and engineering governance. I enjoy exploring ideas that bridge multiple disciplines, combining engineering, mathematics, philosophy, and systems thinking to develop practical solutions to difficult technical challenges. Many of my projects begin as simple observations before evolving into larger architectures through iterative refinement. I am always interested in collaborating with founders, engineers, researchers, startups, and organizations working on ambitious problems involving AI, software engineering, automation, and intelligent systems. Whether discussing architecture, prototyping new ideas, consulting on technical strategy, or building the next generation of engineering tools, I enjoy working with people who value curiosity, technical excellence, and continuous learning. I believe the future of engineering lies in amplifying human expertise through well-designed AI systems—and I am building toward that future.

Engineering Studio AI (X Studio X) is a prototype multi-agent engineering platform that models key aspects of an engineering organization through coordinated AI agents. Rather than relying on a single model, specialized agents collaborate across the entire development lifecycle—from research, planning, and architecture to scaffolding, implementation, code review, testing, security, documentation, and deployment. Shared engineering standards, governance, and guardrails—including SOLID principles, NASA's Power of Ten, Git integration, virtual environment management, CVE detection and mitigation, linting, and validation pipelines—help improve consistency, traceability, and reduce hallucinations. Every stage of the workflow is visible, allowing users to follow how decisions are made. The result is a generated engineering project, packaged with supporting artifacts and a live simulation based on the user's prompt. As an early prototype, the focus is demonstrating the orchestration architecture rather than claiming perfect accuracy or autonomy.
13 Jul 2026