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Influences, annotated.

The books, papers, and architectural principles that shaped how I build production systems. Looking for technical essays and system deep-dives? Explore the new Technical Blog →

  1. 01Deep Learning — Goodfellow, Bengio, CourvilleThe textbook I keep returning to when intuition runs out.
  2. 02Designing Data-Intensive Applications — KleppmannWhy my pipelines stopped falling over at 2 a.m.
  3. 03The Pragmatic Programmer — Hunt & ThomasTracer bullets over big design up front. Always.
  4. 04Andrej Karpathy's lecturesProof that first-principles teaching beats abstraction.
  5. 05fast.ai — Jeremy HowardTop-down learning: ship the model, then learn why it works.
  6. 06PLC ladder logicFifteen factory floors taught me more about reliability than any cloud SLA.
  7. 07RoboflowData curation is the model. The weights are downstream.
  8. 08The Unix philosophySmall tools, composed. My FastAPI services are basically pipes.