🧪 open-concept-lab

A long-term, exploratory lab of concept projects focused on the foundations of AI, Security, Systems, and High-Performance Computing — and how they intersect in real-world tools, protocols, and research.

This lab serves as a place to:

• Build from first principles and implement key ideas from scratch
• Document thought processes, tradeoffs, and experiments
• Reflect on challenges, gaps in understanding, and future possibilities
• Stay in sync with what’s being researched and built across DeepMind, OpenAI, Stanford, ETH Zurich, and other leading institutions
• Maintain tooling to track and stay in touch with research updates, conferences, and scholarly progress

📁 Repository Structure

.
├── ai/                # Neural nets, transformers, LLM agents, eval; responsible-AI (claim knowledge graph)
├── hpc/               # Parallelism, matrix ops, performance tuning
├── math/              # Math + AI / automated-reasoning experiments
├── medicine/          # Medical tinkering and experiments
├── security/          # TLS, sandboxes, analysis tools, crypto experiments
├── systems/           # OS components, allocators, consensus algorithms
├── reproducibility/   # Benchmarks, paper replications, repeatable results
├── tooling/           # CLI experiments, test kits, automation utilities
├── projects/          # Standalone projects (rank-nsf-linker, dali, memosa, opz, sudoku)
├── web/               # Docusaurus site
├── templates/         # Reusable README + reflection + extension templates
└── meta/              # Personal or meta information I track privately

Each folder includes a README.md for high-level structure and status.