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Evidence-based roadmap to becoming an AI System Engineer. Mathematical foundations, ML systems, production habits, and proof-backed progression.

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AI System Engineer Roadmap — Proof-Based Journey

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.

How to Read This Repository

If you are an HR, senior engineer, or reviewer:

  1. Start with the roadmap

    • roadmap/MASTER-ROADMAP.md
    • This defines what is being learned and why.
  2. Check progress

    • progress-tracker.md
    • Only completed items with evidence are checked.
  3. Review proofs

    • proofs/
    • Each completed topic is backed by code, logs, or commits.
  4. Look at applied work

    • projects/
    • End-to-end systems and capstone implementations.
  5. See learning discipline

    • docs/journal/ and docs/retrospectives/
    • Shows consistency, reflection, and iteration.

Design Principles

  • No unchecked claims
  • No progress without evidence
  • No unnecessary complexity
  • Clear separation of public and private thinking

What This Repo Is Not

  • A finished product
  • A blog
  • A showcase of buzzwords

It is a living system, evolving through disciplined execution.


Status

Early stage by design.
Structure first, then depth.

Progress is intentional, not rushed.


Licensed under the MIT License. See LICENSE for details.

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