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.
If you are an HR, senior engineer, or reviewer:
-
Start with the roadmap
roadmap/MASTER-ROADMAP.md- This defines what is being learned and why.
-
Check progress
progress-tracker.md- Only completed items with evidence are checked.
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Review proofs
proofs/- Each completed topic is backed by code, logs, or commits.
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Look at applied work
projects/- End-to-end systems and capstone implementations.
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See learning discipline
docs/journal/anddocs/retrospectives/- Shows consistency, reflection, and iteration.
- No unchecked claims
- No progress without evidence
- No unnecessary complexity
- Clear separation of public 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.