feat: recruiter-scannable cards + Poimen Memory deep dive page (#14)

## Summary

   Rewrite all portfolio cards for 6-second HR scannability and add a dedicated Poimen Memory deep dive page.

   ## Changes

   ### Timeline Cards (all 6 rewritten)
   - **Poimen (Ποιμήν)** — NEW card. Graph-RAG memory + Temporal workflow pillars
   - **riotpiao.com** — 5 sections: Infrastructure, GitOps, Security, Observability, AI/ML
   - **RBC** — State migration (500+ files, zero corruption), drift detection (3wk → <24hr), 3× velocity
   - **AWS** — Distributed-Map ownership (57+ regions, sub-100ms P99), Redrive Execution launch
   - **Titus** — 97.8% accuracy, 28% P99 improvement, 5× deployment speed
   - **NAV Canada** — ATC weather briefing (ReactJS), Django, SonarQube

   ### Project Cards
   - Reorder: **Poimen Orchestration → Memory → Homelab** → RBC → AWS
   - Homelab: production-grade framing, "Explore the Architecture →"
   - Poimen: etymology intro ("shepherd"), connected narrative across cards
   - All cards use `dangerouslySetInnerHTML` for **bold** framework names

   ### Poimen Memory Page (`/poimen/memory`)
   - Hero: "Teaching the Shepherd to Remember"
   - 🏗️ Architecture diagram — Rust microservice, actix-web, Authentik JWT, pgvector
   - 🔄 Dataflow diagram — episode → entity/fact extraction → temporal graph
   - ⚡ Sequence diagram — async ingest lifecycle (202 accepted, background LLM pipeline)
   - Three-tier retrieval cards: signature match (50ms), graph-boosted hybrid, Obsidian fallback
   - Technology stack grid (Rust, pgvector, Ollama, TEI, Authentik, K8s)

   ### CI & Build Fixes
   - API allowlist updated for `riotpiao-poimen/` org repos
   - Commit SHA: `NEXT_PUBLIC_COMMIT_SHA` in Dockerfile + `--build-arg` in CI workflow
   - ExperienceTimeline CI badges wired for Poimen + Homelab repos

   ## Files Changed
   - `lib/translations.json` — all card content (EN + ZH)
   - `app/page.tsx` — project order, deepDive links, ciRepos mapping
   - `app/poimen/memory/page.tsx` — NEW deep dive page
   - `components/ExperienceTimeline.tsx` — Poimen card, HTML rendering, CI badges
   - `app/api/ci-status/route.ts` — allowlist for riotpiao-poimen org
   - `Dockerfile` + `.gitea/workflows/build-push.yml` — SHA fix
   - `public/poimen-memory/` — 3 archify diagrams (architecture, dataflow, sequence)

---------

Co-authored-by:  poimen <[email protected]>
Reviewed-on: #14

public/poimen-memory/dataflow.json

@@ -0,0 +1,36 @@
+{
+  "schema_version": 1,
+  "diagram_type": "dataflow",
+  "meta": {
+    "title": "Poimen Ingest Pipeline",
+    "quality_profile": "showcase",
+    "viewBox": [1020, 540]
+  },
+  "stages": [
+    { "label": "Input" },
+    { "label": "Extract" },
+    { "label": "Store" },
+    { "label": "Serve" }
+  ],
+  "nodes": [
+    { "id": "episode", "type": "external", "label": "Episode", "sublabel": "conversation text", "stage": 0, "row": 1, "tag": "messages" },
+    { "id": "entities", "type": "backend", "label": "Entity Extractor", "sublabel": "LLM + reflection", "stage": 1, "row": 0, "tag": "person / tool" },
+    { "id": "facts", "type": "backend", "label": "Fact Extractor", "sublabel": "LLM relationships", "stage": 1, "row": 2, "tag": "edges" },
+    { "id": "graph", "type": "database", "label": "Temporal Graph", "sublabel": "pgvector", "stage": 2, "row": 1, "tag": "HNSW" },
+    { "id": "query", "type": "backend", "label": "Query API", "sublabel": "hybrid search", "stage": 3, "row": 0, "tag": "BFS + cosine" },
+    { "id": "viz", "type": "frontend", "label": "Visualization", "sublabel": "React Flow", "stage": 3, "row": 2, "tag": "graph UI" }
+  ],
+  "flows": [
+    { "id": "f1", "from": "episode", "to": "entities", "label": "text", "classification": "ingest", "variant": "emphasis" },
+    { "id": "f2", "from": "episode", "to": "facts", "label": "text", "classification": "ingest", "variant": "default" },
+    { "id": "f3", "from": "entities", "to": "graph", "label": "persist nodes", "classification": "write", "variant": "emphasis" },
+    { "id": "f4", "from": "facts", "to": "graph", "label": "persist edges", "classification": "write", "variant": "emphasis" },
+    { "id": "f5", "from": "graph", "to": "query", "label": "search", "classification": "read", "variant": "emphasis" },
+    { "id": "f6", "from": "graph", "to": "viz", "label": "graph data", "classification": "read", "variant": "dashed" }
+  ],
+  "cards": [
+    { "dot": "emerald", "title": "Extraction", "items": ["LLM extracts entities with type + summary", "Second LLM call extracts edges between entities", "Reflection filters hallucinated entities"] },
+    { "dot": "cyan", "title": "Storage", "items": ["Temporal graph with bi-temporal edges", "768-dim HNSW embeddings for similarity"] },
+    { "dot": "orange", "title": "Retrieval", "items": ["BFS traversal + cosine similarity", "React Flow JSON for interactive graph"] }
+  ]
+}