feat(ruag): submit AI Engineer C5I, and record the Kdo Cy package

RUAG C5I - AI Engineer C5I (Thun, app ID 18027): SUBMITTED 2026-08-27.
Evidence Fit 74/100, fit class Stretch, title-capability hard gate FAIL
(R1 build/operate the AI-LLM platform and R2 in-house LLM/retrieval are
Adjacent, not Direct) - all knowingly accepted under the user's explicit
Phase 0 override. Consumes the cohort's sole Stretch slot: cohort is now
6/10, Stretch 1/1.

Critique ran twice. Round 1 scored the documents 85/100 and raised three
Tier 1 items; Round 2, after the fixes, scores 93/100 with truth and
provenance 24/25 and zero Tier 1 findings. Evidence Fit did not move and
was not allowed to: PP-3 is a personal project and cannot convert an
Adjacent title-capability into a Direct one.

Documents (.tex is the deliverable; PDFs are gitignored):
- resume 2pp/13 bullets, letter 1pp/295 words, both validators PASS
- headline is now the canonical title "Staff Data, Analytics & AI
  Engineer", which puts the req's own word above the fold
- PP-3 added as a Projekte section - the only current Linux/hardening
  evidence, since BS-6 ended Dec 2022
- the letter names the AI-platform gap in one sentence, then connects
  SW-5 to C5I's stated DevSecOps model
- "governte" -> "governance-konforme"; JD term coverage 18/22 -> 22/22
  claimable, with all six gap terms still correctly absent

Two defects found and fixed that the first critique missed:
- the resume never loaded babel, so a German document was hyphenated
  with English patterns (Hal-bleiterfertigung, Tran-skription). Fixed
  with babel[ngerman] plus a Transkription exception; this also cleared
  an overfull box. Check this on every future German package -
  resume_template.tex likely has the same omission.
- IBM AI Engineering had no primary-source record. Certificate read
  directly (IBM via Coursera, 4 Jun 2020, verify 3ZBZFVAL6A34), recorded
  as entry #8; it also proves PyTorch, now evidence: certification.

Also included: the submitted Kdo Cy DevOps Engineer III package, the
Capgemini omit rule promoted into config.md, BW-1 canonicalized in
experience_bundeswehr.md, and a scout.py comment correcting the
telenorgroup slug from "near-empty" to a claimed board serving stale
phantom listings that DEMO_TITLES would not catch.

Compensation, PSP/project eligibility and role level were never resolved
before sending and are now live screening topics.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JMcHCsTKWvVzqyLChF5ckk

resume_builder/experience/experience_bundeswehr.md

@@ -9,14 +9,19 @@
 
 ### Achievement BW-1: Officer Training and Service
 
+**Canonical ID:** BW-1
+**Last verified:** 2026-08-27
 **User's role:** Officer candidate / officer
 **Status:** Completed service; resigned as Second Lieutenant
+**Ownership scope:** Individual service and completed training. No command scope, deployment or technical military responsibility is established.
+**Verified result / metric state:** Six years of service and separation as Second Lieutenant are verified; no performance metric is established.
 
 **Context:** Completed officer candidate training and officer school, then served in the German Armed Forces for six years.
 
 **Safe bullet direction:** Completed officer candidate training and officer school during six years in the German Armed Forces (Bundeswehr), leaving service as Second Lieutenant. Do not imply a current clearance, NATO service, combat role, technical AI work, or responsibilities not verified.
 
 **ATS keywords:** German Armed Forces, Bundeswehr, officer, multinational environment, operational context, structured leadership
+**Relevant role context:** Defence, military and public-security employers; organisational familiarity rather than technical evidence.
 
 **Reframing notes:**
 - Defence / NATO roles: Include as concise context for operational judgement and organisational familiarity.