I am a developer and sysadmin focused on efficient LLM architectures and high-performance self-hosted infrastructure. I bridge the gap between deep learning and bare-metal systems.
- Languages:
Rust|C++|C|Python|Java - AI/ML: Recursive HRM, MLA (Multi-Head Latent Attention), SwiGLU, Custom Tokenizers
- Infrastructure: Home Server Sysadmin, Docker, Local Intranet Management
- Hardware: Diving deep into GPU/CPU architecture and AI compute optimization.
𧬠Featured Project: Ouroboros-Recursive-LM
- Architecture: A Recursive Hierarchical Representation Model (R-HRM).
- Innovation: Uses 8 recursive steps to maximize reasoning depth in a compact 512-D space.
- Goal: Hitting the 2.1 Loss "Sniper Target" for optimal reasoning convergence.
I document my experiments in technology and digital media.
- YouTube: just a guy who likes to Experiment
- Philosophy: Exploring "The way of Technology of the future."
- π± Learning: Advanced AI Training, GPU/CPU hardware internals, and Docker orchestration.
- ποΈ Collaboration: Efficient LLM inference engines and high-performance computing.
- π« Reach me: Open an Issue
- β‘ Fun Fact: I run my own intranet and train recursive brains.
