I build complex, interconnected systems across software, AI, simulation, and infrastructure.
- Design and ship multi-agent systems
- Build automated decision engines and simulation models
- Develop interactive environments and system prototypes
- Engineer end-to-end stacks (backend, frontend, infra)
- Run and manage high-performance local compute setups
- 50+ systems built across multiple machines and environments
- Covers:
- Interactive / simulation systems
- Automated decision & trading systems
- AI / agent orchestration
- Bot platforms & messaging systems
- Probabilistic modeling & prediction engines
- Security & research tooling
- Infrastructure & compute environments
- ~5.5M+ lines across all project codebases (filesystem footprint)
- ~3.5+ years active development (earliest tracked commits: late 2022)
- 26+ distinct codebases on primary workstation alone
- High iteration velocity with continuous rebuild + optimization cycles
- Systems-first, not feature-first
- Rapid prototyping → refinement → rebuild cycles
- Focus on automation, scale, and integration
- Comfortable across multiple stacks and environments
Languages
- JavaScript / TypeScript
- Python
- C# (Unity)
- C
- Shell / Bash
- C
- Shell / Bash
Tools & Systems
- Node.js / Express
- Unity (simulation + game systems)
- Local AI runtimes (LLMs, diffusion pipelines)
- Workflow automation (pipelines / orchestration)
- Linux-based infrastructure
- Multi-agent architectures
- Simulation & probabilistic systems
- Automation pipelines
- Real-time systems
- Infrastructure + compute scaling
Build systems that run, adapt, and compound — not just code that sits still.
- Expanding agent-based systems
- Scaling automation pipelines
- Integrating AI into decision systems
- Pushing deeper into real-time simulation + orchestration
- Most work is private / experimental / iterative
- Public repos represent only a fraction of total output