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sivadst/README.md




     






     



       





〔 AI & MACHINE LEARNING 〕






〔 DATA & SYSTEMS 〕






〔 TOOLS 〕









◈ DEPTH BY DOMAIN ◈
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

  Machine Learning & Deep Learning    ████████████████████  ★★★★★
  Linear Algebra & Calculus           ████████████████████  ★★★★★
  Research & Mathematical Modeling    ████████████████████  ★★★★★
  Computer Vision                     █████████████████░░░  ★★★★☆
  NLP & LLMs                          ████████████████░░░░  ★★★★☆
  System Design                       ███████████████░░░░░  ★★★★☆
  Data Pipelines & Analytics          █████████████░░░░░░░  ★★★☆☆

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

github-snake



     





┌────────────────────────────────────────────────────────────────────────────┐
│                                                                            │
│   discipline   →   the one variable fully under my control.               │
│                    protecting it is the whole game.                        │
│                                                                            │
│   leverage     →   build once. let it compound while you sleep.            │
│                    then build again.                                       │
│                                                                            │
│   transition   →   student → engineer → whatever comes next.              │
│                    each phase earned, not assumed.                         │
│                                                                            │
│   elite        →   a private standard, not a public claim.                │
│                    you know it when the work shows up at 2am              │
│                    and you still sit down.                                 │
│                                                                            │
│   legacy       →   not thinking about it.                                 │
│                    just building.                                          │
│                                                                            │
└────────────────────────────────────────────────────────────────────────────┘






   



     




╔══════════════════════════════════════════════════════════════════════════════╗
║                                                                              ║
║                            ◈  closing note  ◈                               ║
║                                                                              ║
║   They won't remember the language you coded in.                             ║
║   Or the framework. Or which GPU cluster.                                    ║
║                                                                              ║
║   They'll remember what the system did.                                      ║
║   Who it helped. That it kept running.                                       ║
║                                                                              ║
║   Building toward that.                                                      ║
║                                                                              ║
║                                    — SRM-AP, India                           ║
║                                      en route to Tokyo.                      ║
║                                                                              ║
╚══════════════════════════════════════════════════════════════════════════════╝


🎮 You found it. The real project is the person building. Keep going.

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