Hadrian Hu@psi16181918161phi
6
Events attended
2
Submissions made
Canada
4+ years of experience
About me
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.
🤝 Top Collaborators
🤓 Latest Submissions
Engineering Studio AI Multi-Agent Design System
**Engineering Studio AI — X Studio X** is an end-to-end multi-agent engineering platform that transforms product briefs into coordinated engineering packages in minutes. The system orchestrates **11 specialized AI agents** across research, mechanical and electrical engineering, firmware, simulation, cost/business/legal analysis, technical review, adversarial testing, exploratory QA, validation, and final quality gating. Rather than simply generating isolated outputs, X Studio X follows a structured engineering lifecycle: **Generate → Simulate → Review → Challenge → Validate → Reconcile → Deliver** Agents work independently and in parallel where appropriate, while dedicated review and validation agents challenge assumptions, identify failure modes, reconcile cross-disciplinary inconsistencies, and verify outputs against project requirements. Generated artifacts can include Bills of Materials, component selections, electrical schematics, source code, mechanical/CAD specifications, simulation results, cost analyses, compliance reports, and verification and validation results. We also built a **CI/CD Dashboard entirely with native.builder**, integrating GitHub OAuth 2.0, workflow monitoring, build/deployment status, and a Supabase backend. Together, this creates a pipeline from: **Product Brief → Engineering Artifacts → V&V → GitHub → CI/CD** Both applications are deployed on Render for live judge evaluation. **Stack:** Python, FastAPI, Fireworks AI, native.builder, React, Supabase, GitHub OAuth, Docker, and Render. X Studio X treats AI engineering as a **systems-engineering and orchestration problem**, demonstrating how specialized agents can function as a coordinated virtual engineering organization rather than a single AI assistant.
10 Aug 2026
Engineering Studio AI: X Studio X
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
