Systems architect and infrastructure engineer building foundational technologies that power next-generation applications.
Working on Atlas - A framework for knowledge-driven AI agent systems with multi-agent orchestration.
- Fabric Engine - A perspective-based engine in C++20 exploring how information presentation changes with viewpoint
- ReX - Compositional content architecture for isomorphic web applications (docs)
- Atlas - Multi-agent AI orchestration with knowledge graph integration (docs)
- Started with Markov chains (markie.py)
- Currently working on LLM orchestration systems
- Exploring agent coordination, knowledge persistence, and semantic understanding
- CUDA programming for GPU acceleration
- OpenGL/graphics programming
- Thread-safe, cross-platform system architecture
- Modern Routing with Coolify & Cloudflare - Complete setup guide for self-hosted applications with SSL termination, reverse proxy configuration, and hybrid routing architectures
- NIST-Based Incident Response Procedures - Comprehensive security incident response framework following NIST SP 800-61r2 guidelines for enterprise infrastructure
"Reality is fluid. Perspective is everything." - Fabric Engine
Some principles I try to follow:
- First principles thinking - Understanding the why before the how
- Clean architecture - Code that's maintainable and understandable
- Automation first - Build systems that build themselves
- Continuous learning - Always exploring new challenges
- Languages: Python, C++, TypeScript, Bash, Rust (learning), CUDA
- Systems: Multi-agent orchestration, Event-driven architecture, Thread-safe concurrency
- DevOps: Git workflows, GitHub Actions, CI/CD automation, Shell scripting, Docker-ready builds
- AI/ML: LLM integration, Knowledge graphs, Semantic search, Agent systems
- Architecture: Compositional design, Plugin systems, Middleware patterns, Infrastructure as Code
Specializing in high-value, complex technical challenges that others can't solve.
- 0-1 Product Development - Turn your idea into a working system
- Performance Optimization - Make slow systems fast (CUDA, C++, systems-level)
- AI Integration - LLM orchestration, agent systems, knowledge graphs
- Custom Build Systems - CI/CD pipelines that actually work
- Legacy System Modernization - Migrate without breaking everything
- 60% API cost reduction - Built custom LLM orchestration system
- 300% performance increase - Optimized C++ rendering pipeline
- 10M+ operations/day - Designed multi-agent AI system
- Days to minutes - Automated deployment pipeline reducing release time
- Deep Technical Expertise - I build the systems other developers use
- Fast Delivery - Years of automation experience = rapid implementation
- Clear Communication - Regular updates, technical documentation included
- Production Ready - Code that scales, monitoring that works, systems that don't break
- Complex Systems Architecture: $150-200/hour
- AI/ML Implementation: $125-175/hour
- Performance Optimization: $100-150/hour
- Available for both short sprints and long-term partnerships
Ready to build something exceptional? Let's discuss your technical challenges.