stories
Notes on stories for ML platform / Applied AI interview preparation. The file index below shows what's in scope; click through to the individual notes for the depth.
Interview talking points
- This is a sub-topic under Leadership-Narrative. See the parent for the broader interview framing.
Files in this folder
| File | Title |
|---|---|
| 01-the-92-percent-poc-trap.md | Story 01 — The 92% POC trap |
| 02-hybrid-execution-model-decision.md | Story 02 — Why I refused "use Claude for everything" |
| 03-embedding-plateau-debugging.md | Story 03 — Three weeks of stalled embedding fine-tuning, fixed in four days |
| 04-hallucination-threshold-calibration.md | Story 04 — How 0.5 became 0.7 (and why the difference mattered) |
| 05-ewc-retraining-save.md | Story 05 — Stopping a 4%-per-cycle accuracy bleed with a Fisher-information penalty |
| 06-five-persona-mentoring-framework.md | Story 06 — How I scaled my judgment without being in every meeting |
Back to the parent.