FDE tutorial series: turning client business requirements into measurable technical specs
Affectionate_Slip654 · reddit · 2026-11-03
A Reddit user published part 2 of a Forward Deployed AI Engineer (FDE) tutorial series, playing the tech lead who converts client business requirements into buildable, measurable technical specs.
- Covers 8 areas: data, AI/ML, LLM, backend/API, infra, security, monitoring, deployment
- Data: time-based splits, untouched holdout, PII redaction, deduplication
- AI/ML: turn investigator patterns into features, build an XGBoost baseline first
- LLM path: continued pre-training → LoRA fine-tuning → DPO → distillation & quantisation
- Backend: one fixed endpoint, a rules engine, and fallbacks so checkout is never blocked
- Metric examples: "catch more fraud" becomes recall ≥ 85%; "don't slow payments" becomes 250 ms for 99 of 100 requests
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