Case Studies
Architecture and implementation accounts linked to provenance, maturity, evidence, and claim boundaries.
Research ProgramPrototypePublic ArtifactPublic
Aug 27, 2026 — 12 min — Platform & AI
A fixture-backed comparison that holds the BLS source, transformations, K-means settings, and acceptance criteria constant, then asks what Elixir and Python make easier to inspect and trust.
Reader outcome: Reader can design a cross-stack experiment that tests output agreement without turning a small analytical workload into a misleading language benchmark.
data scienceelixirpythonreproducibilitymachine learning
Research ProgramPrototypePrivate EvidencePrivate Source
Aug 21, 2026 — 7 min — Simulation
Why I kept Sunday Lab and NBA Lab private, unified their forecasting vocabulary, and published the boundary instead of pretending two local prototypes were live products.
Reader outcome: Reader can separate facts, market observations, forecasts, decisions, and evaluations in a practice system without mistaking a private prototype for a live product or measured outcome.
forecastingsimulationevidencedata contractssports analytics
Internal ProjectDeliveredPublic ArtifactPublic
Jun 29, 2026 — 8 min — Systems Notes
A retrospective on the rewrite sprint that started when a 40-post archive audit found essay and case_study labels attached to note-depth drafts.
Reader outcome: Reader can audit a technical-writing archive by separating tier labels from body evidence, then choose which posts to expand, retag, or hold.
editorialwritingpublishingpersonal blogcontent strategy
Professional PatternDocumentedPublic ArtifactSanitized
Jan 28, 2026 — 6 min — Platform & AI
A Dataform and BigQuery case study for turning data contracts, release lanes, validation gates, rollback behavior, and cost checks into one governed promotion path.
Reader outcome: Reader can inspect a sanitized release pattern that makes schema, freshness, cost, and downstream-impact checks part of promotion rather than after-the-fact review.
dataformbigquerydata contractsrelease engineeringgcp
Professional PatternDocumentedPublic ArtifactSanitized
Jan 12, 2026 — 5 min — Platform & AI
A sanitized GCP platform case study where compliance, analytics delivery, and ML feature access had to be designed as one release path instead of three disconnected workstreams.
Reader outcome: Reader can inspect a sanitized GCP pattern for governed dataset onboarding, auditability, cost visibility, and promotion rules across analytics and ML use cases.
gcpbigquerygovernanceanalyticsml