This repository documents a proof-driven journey toward becoming a
Production-grade AI System Engineer.
It is not a tutorial repository.
It is not a collection of random notes.
This is a structured system designed to show:
- how learning is planned,
- how progress is validated,
- and how skills are proven with evidence.
Note: For detailed architectural rules, file addition decision trees, and validation checklists, refer to the
docs/architecture/REPO-USAGE.mdmanual.
This repository is divided into strict architectural layers:
roadmap/The plan. ContainsMASTER-ROADMAP.md, the absolute single source of truth for all planned and completed work.proofs/The core. Verifiable evidence of acquired skills (code, logs, mathematical artifacts).projects/End-to-end applied systems and capstone implementations.docs/The written system. Contains weekly journals (journal/) and deep-dive conceptual learning (concepts/).scenarios/Problem framing exercises, tradeoffs, and system design thinking.scripts/Helper tools, automations, and engineering utilities.resources/Curated input materials and reference lists.private/Internal workflows, prompts, and raw thoughts. (Excluded from the public narrative).
The Golden Rule: README tells the story → Templates provide the structure → Contents prove the claim.
- No unchecked claims: If it's not proven with evidence, it doesn't exist.
- Single Source of Truth:
MASTER-ROADMAP.mdis the only valid tracker. - Anti-Bloat: No unnecessary complexity. If it doesn't serve the path, it gets deleted.
- Clear separation of public outcomes and private thinking.
- A finished product
- A blog
- A showcase of buzzwords
It is a living system, evolving through disciplined execution.
Early stage by design.
Structure first, then depth.
Progress is intentional, not rushed.
Licensed under the MIT License. See LICENSE for details.