Bridging the gap between high-performance computing, technical art, and artificial intelligence.
I build autonomous systems at the intersection of creative vision and raw computational power. My focus is on developing custom AI-driven tools, designing procedural workflows, and engineering scalable local infrastructure that pushes hardware limits to run heavy models autonomously.
By bringing high-performance computing in-house, I maintain complete architectural control over the environments I build — from GPU governor orchestration and temporal video analysis pipelines to reinforcement learning simulations and meta-learning reasoning frameworks.
- Local AI Infrastructure: GPU governor and VRAM-aware model session orchestration for consumer-grade hardware.
- Temporal & Visual Understanding: Shot boundary detection, scene graph construction, and proxy-based video analysis.
- Reinforcement Learning: Multi-agent competitive environments and biological system modeling.
- Meta-Learning: Task-aware reasoning with latent context modeling and dynamic module architectures.
~ Auto-updated: 2026-06-28