F18 - page-one weighting
- Across four compiled packages the first employment entry began at 45-55% of
page one. A reader reaching the middle of the page had seen a profile and a
skills block, and no evidence.
- The old skills rule counted `\skillline` MACROS, which does not control
density: six categories with long value lists wrap to twelve or more rendered
lines. Replaced with a rendered-line budget verified in the compiled PDF, plus
the rule that a skills line repeating what three bullets below already prove is
spending the first screen to say it twice.
- Employer chronology stays reverse-chronological; the ordering freedom is
WITHIN a position, where the bullet closest to the target role leads.
- New helper `page_metrics.py` measures page-one geometry from the PDF via
pdftotext -bbox.
F19 - education and phrasing
- Degree + focus + institution crammed into one cell with a right-aligned date
produced visible word spacing and mid-word breaks in SBB, NVIDIA and Aker BP.
Split the entry, as RUAG_AI_Engineer_C5I already did. Template carries the rule.
- Grades and thesis stay only where concretely relevant. claims.json
grade_output_rule already keeps grades off by default; the M.Eng. thesis earns
its place on condition-monitoring or sensor-data roles and otherwise does not.
Validated by measurement rather than assertion
- page_metrics.py first reproduced the review's own figures (NVIDIA 55.4%,
SBB 50.6%, RUAG 50.3%). That is what makes the after-figure meaningful.
- The NVIDIA CV was rebuilt FROM A COPY with the guidance applied: experience
moved 55.4% -> 44.0% of page one, page-one text lines 47 -> 39, still two
pages, zero overfull boxes, validator PASS.
- The submitted package itself was not modified. F17 classifies archives as
evidence, not as drafts.
The percentage is a diagnostic, not a target: no pixel goal and no rule that
page two must be filled.
All 19 review findings are now complete. 37/37 tests pass.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Qej5SBvhcbGXHwLqNWiskM