ABOUT
AI Systems Architect and independent researcher with 15+ years in computational intelligence. Building developer tooling, MCP infrastructure, and autonomous agent systems across 65+ open-source projects.
THE JOURNEY
2010 — 2026
Started experimenting with neural networks in 2010, long before they entered the mainstream. What began as an interest in computational intelligence became a career defined by building practical tools at the intersection of AI and developer experience.
Over the past 15 years, that path has included blockchain development, autonomous agent systems, MCP infrastructure, and open-source developer tooling — with 65+ public repositories and multiple production deployments across the aegntic ecosystem.
"We don't always get things right, but we never give up. We don't strive for perfection, we innovate towards excellence."
THE APPROACH
HOW I WORK
Open Source First
65+ public repositories across the aegntic organization. I believe in building in the open, contributing to the ecosystem, and letting the work speak for itself.
Ship and Iterate
Rapid prototyping with production-quality architecture. From hackathon entries to production tools, I prioritize getting working software into the hands of users quickly.
Deep Technical Work
Comfortable across the full stack — from Rust systems programming and MCP protocol servers to TypeScript frontends and Python ML pipelines. I go deep where it matters.
Ecosystem Thinking
Every project is designed as part of a larger system. Tools connect to platforms, frameworks power products, and infrastructure enables new workflows.
TIMELINE
CAREER PATH
AI Systems Architect
Scaling the aegntic ecosystem to 65+ repositories. Launched CLDCDE (Claude Code developer productivity suite), aegnt-27 (Rust-based human authenticity engine), and multiple hackathon-winning projects. Building MCP infrastructure and autonomous agent systems.
Independent Researcher
Developed the FPEF (First Principle Execution Framework) methodology. Built foundational infrastructure for aegntic.ai research platform. Began publishing open-source tools for the AI developer community.
Blockchain & Systems Development
Full-stack development across blockchain, security systems, and distributed architectures. 47+ experimental projects spanning smart contracts, decentralized applications, and trading infrastructure.
Early Neural Network Research
Early experiments with neural networks and computational intelligence. Self-directed study in machine learning, pattern recognition, and the foundations of what would become modern AI systems.
PHILOSOPHY
CORE PRINCIPLES
Systems-First Understanding
Understand the system deeply before acting. Evidence over assumptions. First principles over patterns. FPEF methodology: map realities, verify assumptions, minimize intervention.
Understated Excellence
Better to be understated and overdeliver than overstated and underwhelm. Focus on capabilities, not claims. Let the work speak. Build because no decent solution exists yet.
Computational Amplification
UNLTD framework: Transform linear workflows into exponential growth through network effects. Each system amplifies the others. Intelligence compounds.
Generational Impact
"This is for our kids and our kids' kids." Building infrastructure that outlasts us. Creating opportunities for disadvantaged communities. Long-term value over short-term gains.
CURRENT FOCUS
2026 PRIORITIES
Building CLDCDE — The complete productivity suite for Claude Code developers. 40+ CLI shortcuts, real-time context monitoring, and a community platform for extensions and MCP servers at cldcde.cc.
Developing aegnt-27 — A Rust library implementing 27 distinct behavioral patterns for peak human authenticity achievement. Open-core model with both MIT-licensed and commercial components.
Expanding the aegntic ecosystem — 65+ open-source repositories spanning MCP infrastructure, autonomous agent systems, developer tooling, and AI-powered business platforms.
CONNECT
COLLABORATION OVER CREDENTIALS
Interested in human-AI co-creation, computational amplification, or building infrastructure for the next generation of intelligence systems? The work speaks for itself. If it resonates, reach out.