fix: follow-up review corrections, BIS rejection, and a gitignore miss
Second-pass review of this session's work by another agent. It corrected several
real mistakes of mine and finished F06 gaps I had left open. Reviewed, verified
and committed as-is.
THE MISS THAT MATTERS
`job_scout/state/applications.json` — the authoritative application registry
introduced by F02 — was never actually tracked. `job_scout/state/*` in
.gitignore silently excluded it, so my checkpoint commit afdef7e claimed to add
it and did not. Only `application_cohort.json`, the GENERATED projection, was
version-controlled; the source of truth and the migration history backup were
not. .gitignore now carries explicit negations for both.
MY ERRORS, CORRECTED
- "kastellaun" was in CH_LOCATION_KEYWORDS. Kastellaun is in Rhineland-Palatinate.
I took it from a Bundeswehr reserve listing and filed it under Switzerland -
precisely the class of bug F12 existed to fix.
- The F12 fix only widened the keyword list; SmartRecruiters still discarded the
structured country, which was the concrete case the review named
(city=Baar, country=CH). The adapter now preserves it, and a COUNTRY_NAMES
mapping gives country precedence over a bare town name.
- F15 was applied to Taleo and Prospective only. Greenhouse still wrote
`updated_at` into `posted`; it now uses `published_at` and carries provenance.
- My negation guard `\b(no|not|...)\b[^.;]{0,60}$` was too loose - an unrelated
"not" within 60 characters could mask a real claim. Tightened to require the
negation to govern the term.
- F18's retirement of the macro-count rule missed "Four to six compact skills
lines" in the workflow; removed now.
F06 GAPS I LEFT OPEN, NOW CLOSED
Date-format validation on education/employment periods (the 2035-99 case named
in the review), evidence-structure validation, referential integrity on evidence
source files, and the missing-identity KeyError.
F10 TAKEN FURTHER, AND RIGHTLY
I demoted the US-GPA fields to *_orientation_only. They are now removed
entirely, with grade_output_rule saying what to do instead: use the German grade
and scale, and if a recipient requires a US GPA, use THEIR method and record it.
Keeping a number derived by a non-recognised method invites its use.
Also: the Capgemini omit-preference now sits in experience_capgemini.md itself,
alongside the instruction not to fill or explain the intentional gap.
BIS BASEL - REJECTED 2026-09-11
jr100429, applied 2026-07-10, no interview, no reason given. Recorded in the
registry with a dated event and in the decision log; the "prep interview brief
when screening lands" next action is cleared. This also settles the 2026-09-04
observation that the req had vanished from the BIS board - it was a real
rejection, not just a closed posting.
VERIFICATION I RAN MYSELF BEFORE COMMITTING
49/49 tests. Validator PASS with 0 advisory warnings. Package manifest and
registry views current. All 12 F12 location cases still correct, including
Kastellaun now rejecting. The F05 counter-proof still catches all 9 violations.
SBB, NVIDIA, RUAG and Kdo Cy resumes still scan clean. Diffs are net-additive
across every reference file - the deletions are replacements, not losses.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Qej5SBvhcbGXHwLqNWiskM
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@@ -40,7 +40,6 @@ Staff data engineer with over ten years of production software experience across
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\skillline{Languages}{Python, SQL; Java and C\# (professional, historical); C++ and JavaScript (limited historical use)}
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\skillline{Data}{Apache Kafka, Airflow, PySpark, Oracle, Teradata, Hadoop/Impala, data products, metadata and governance}
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\skillline{Cloud and platform}{AWS (S3, Glue, Athena/Iceberg, Redshift), CloudFormation, Kubernetes, Docker, GitLab CI/CD, Ansible}
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\skillline{ML delivery}{Production inference deployment and support, on-call operations; ELK, Grafana and Prometheus proof-of-concept work}
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\skillline{Certifications}{AWS Solutions Architect -- Associate; Data Engineering with AWS; iSAQB CPSA-F; ITIL Foundation}
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\end{rSection}
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@@ -87,10 +86,12 @@ Staff data engineer with over ten years of production software experience across
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% Grades and thesis only where they carry concrete relevance; see claims.json
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% grade_output_rule, which keeps grades off by default.
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\begin{rSection}{Education}
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\compactentry{M.Eng. Computer Aided Engineering (Software Design \& Engineering), Universität der Bundeswehr München}{Apr 2012 -- Oct 2013}
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Thesis at Tongji University, Shanghai: \textit{Development of a Web-Based Remote Fault Diagnosis System}; grade 1.0.
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\compactentry{M.Eng. Computer Aided Engineering}{Apr 2012 -- Oct 2013}
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Universität der Bundeswehr München; Software Design \& Engineering.
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% Add thesis or grade only when relevant to this application, using the canonical facts.
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\compactentry{B.Eng. Information and Telecommunication Technologies, Universität der Bundeswehr München}{Oct 2009 -- Oct 2012}
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\compactentry{B.Eng. Information and Telecommunication Technologies}{Oct 2009 -- Oct 2012}
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Universität der Bundeswehr München.
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\end{rSection}
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\end{document}
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