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Becoming God

A personal learning workspace: daily practice and shipped projects across machine learning, agentic systems, system design, and competitive programming.

Progress

Track Topics covered Projects shipped
ML 1 day of notebooks (digit prediction, PyTorch basics, bigram language model) 0
Agentic Tool-use pattern, reflection pattern 0
System design 0
ICPC (competitive programming) 3 days, 24 problems solved

Projects shipped counts only projects with a filled-in project-brief.md OUTCOME. See Projects/README.md for the rule.

Projects

No projects have a declared outcome yet. Projects/chatgpt-from-scratch/ exists but predates the outcome rule and has no project-brief.md — see Projects/README.md.

Learning tracks

  • ml/ — machine learning notes, builds, and daily logs.
  • agentic/ — agentic systems notes, builds, and daily logs.
  • system-design/ — fundamentals, LLD, HLD, ML system design, AI system design.
  • python/ — general Python toolbelt and exercises.
  • AI-ML/ — day-by-day ML/AI notebook exercises (uv-managed Python environment).
  • ICPC/ — competitive programming practice, organized by day.
  • Projects/ — shipped projects, weekly and major, each requiring a declared outcome.
  • templates/ — day-log, design-doc, and project-brief templates used across this repo.

Structure

graph TD
  Root[Becoming-God] --> ML[ml/]
  Root --> Agentic[agentic/]
  Root --> SysDesign[system-design/]
  Root --> Python[python/]
  Root --> AIML[AI-ML/]
  Root --> ICPC[ICPC/]
  Root --> Projects[Projects/]
  Root --> Templates[templates/]

  ML --> ML_notes[notes/]
  ML --> ML_builds[builds/]
  ML --> ML_logs[day-logs/]

  Agentic --> Ag_notes[notes/]
  Agentic --> Ag_builds[builds/]
  Agentic --> Ag_logs[day-logs/]

  SysDesign --> SD_fund[fundamentals/]
  SysDesign --> SD_lld[lld/]
  SysDesign --> SD_hld[hld/]
  SysDesign --> SD_ml[ml-system-design/]
  SysDesign --> SD_ai[ai-system-design/]
  SysDesign --> SD_logs[day-logs/]

  Projects --> P_weekly[weekly/]
  Projects --> P_major[major/]
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Learning workspace: AI/ML notebooks and ICPC competitive programming practice.

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