fix(F18-F19): get evidence onto page one earlier, measured not asserted

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

resume_builder/helpers/page_metrics.py

@@ -0,0 +1,59 @@
+# -*- coding: utf-8 -*-
+"""Measure where the first real employment evidence starts on page one (review finding F18).
+
+Usage: python resume_builder/helpers/page_metrics.py <resume.pdf> [more.pdf ...]
+Requires pdftotext (ships with MiKTeX).
+
+The review reported ~50-55% for four packages. This reproduces that measurement from the
+compiled PDF so a change can be checked rather than asserted. The percentage is a diagnostic,
+never a target: no pixel goal, no forced page-two filling.
+"""
+import io
+import re
+import subprocess
+import sys
+import tempfile
+from pathlib import Path
+
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8", errors="replace")
+PDFTOTEXT = Path(r"C:\Users\Dennis\AppData\Local\Programs\MiKTeX\miktex\bin\x64\pdftotext.exe")
+HEADINGS = ("professional experience", "berufserfahrung", "experience")
+
+
+def measure(pdf: Path) -> dict:
+    with tempfile.TemporaryDirectory() as work:
+        out = Path(work) / "bbox.xml"
+        subprocess.run([str(PDFTOTEXT), "-bbox", "-f", "1", "-l", "1", str(pdf), str(out)],
+                       capture_output=True, check=True)
+        xml = out.read_text(encoding="utf-8", errors="replace")
+    page = re.search(r'<page width="([\d.]+)" height="([\d.]+)"', xml)
+    height = float(page.group(2))
+    words = [(float(m.group(2)), m.group(5).lower())
+             for m in re.finditer(
+                 r'<word xMin="([\d.]+)" yMin="([\d.]+)" xMax="([\d.]+)" yMax="([\d.]+)">([^<]*)</word>',
+                 xml)]
+    first_y = None
+    for index, (y, text) in enumerate(words):
+        if text in ("professional", "berufserfahrung", "experience"):
+            following = " ".join(w for _, w in words[index:index + 2])
+            if any(h.startswith(following.split()[0]) for h in HEADINGS):
+                first_y = y
+                break
+    lines = len({round(y, 1) for y, _ in words})
+    return {
+        "height": height,
+        "experience_y": first_y,
+        "experience_pct": round(100 * first_y / height, 1) if first_y else None,
+        "page1_text_lines": lines,
+        "page1_words": len(words),
+    }
+
+
+if __name__ == "__main__":
+    for argument in sys.argv[1:]:
+        pdf = Path(argument)
+        data = measure(pdf)
+        pct = data["experience_pct"]
+        print(f"{pdf.parent.name:<34} experience starts at "
+              f"{pct if pct is not None else '?':>5}% of page 1 | "
+              f"{data['page1_text_lines']:>3} text lines, {data['page1_words']:>4} words")