Ahmet Kerem Özbay — CV Pack (Research + Final Drafts)

This repository contains:

• The original CV provided as input (source/).
• Research notes + job ad corpus (artifacts/cv_research/).
• A refined 1-page CV in Markdown, plus a DOCX export.

Quick start (what to open first)

If you only read these:

• artifacts/cv_research/Ahmet_Kerem_Ozbay_CV_EN.md (current English CV, formatted to export to 1 PDF page)
• artifacts/cv_research/Ahmet_Kerem_Ozbay_CV_EN.docx (Word version)
• artifacts/cv_research/Ahmet_Kerem_Ozbay_CV_EN.html (HTML version; good for browsers/printing)
• artifacts/cv_research/cv_bible_ahmet_kerem_ozbay.md (rules to keep the CV consistent and easy to tailor)

How to export PDF (Forgejo)

Forgejo can render Markdown as a PDF via a URL parameter.

1. Open the Markdown CV:
   • artifacts/cv_research/Ahmet_Kerem_Ozbay_CV_EN.md
2. Use the “raw PDF” export:
   • Append ?format=pdf to the raw file URL.

Note: the PDF renderer can introduce page breaks depending on line wrapping. The current CV is intentionally formatted (collapsed sections) to keep it on one page.

What this pack is for (honest constraints)

• This is a presentation and targeting pack (CV + job matching).
• It does not grant work authorization. If a role requires sponsorship, disclose it early and keep the story consistent.

Pipeline (who / why / what / where / when / how)

Who

• Candidate: Ahmet Kerem Özbay (warehouse/logistics profile).
• You (operator): provided context, reviewed outputs, and made minor edits directly in the repo.
• Codex (assistant): generated research artifacts, drafted/refined the CV, and produced DOCX/HTML exports.

Why

• Improve CV quality and targeting for warehouse/logistics roles.
• Create a reusable pack (CV + job-ad corpus + guidance) to reduce repeated work and speed up iteration.
• Keep the CV exportable as a single-page PDF when using Forgejo’s Markdown→PDF renderer.

What

• Input: source/AHMET_KEREM_OZBAY_CV.pdf
• Outputs: CV in artifacts/cv_research/ as:
  • Markdown (Ahmet_Kerem_Ozbay_CV_EN.md) optimized for 1-page PDF export
  • DOCX (Ahmet_Kerem_Ozbay_CV_EN.docx)
  • HTML (Ahmet_Kerem_Ozbay_CV_EN.html)
• Supporting artifacts: best-practices notes, a structured debate transcript, job ads (JSON + HTML), and a CV bible.

Where

• Work was produced and stored in this Forgejo repository:
  • https://git.infrafabric.io/danny/ahmet-kerem-ozbay

When

• Created and iterated during the current session (repo commit history is the source of truth for exact timestamps).

How (high-level steps)

1. Extracted CV text from the provided PDF and summarized the candidate profile.
2. Collected reference patterns (warehouse/logistics CV/resume guides) and distilled recurring structure/language/layout rules.
3. Collected matching job ads (France, logistics/warehouse category) and saved them locally as:
   • structured JSON payloads and
   • downloaded HTML pages for offline review.
4. Validated recommendations via a structured, explicitly-marked simulated panel debate (HR + recruiter + role-played employers) to filter out unrealistic advice.
5. Wrote a CV bible (rules + repeatable checklist) so future edits don’t break consistency.
6. Redrafted the CV and iterated formatting:
   • first for clarity and scannability,
   • then specifically to keep Forgejo’s PDF export at 1 page (by collapsing sections when needed).
7. Generated exports:
   • DOCX created from the Markdown using a small scripted conversion (local tooling).
   • HTML created as a single-file printable view with minimal CSS.

Repository layout (file tree)

.
├── README.md
├── artifacts
│   └── cv_research
│       ├── Ahmet_Kerem_Ozbay_CV_EN.docx
│       ├── Ahmet_Kerem_Ozbay_CV_EN.html
│       ├── Ahmet_Kerem_Ozbay_CV_EN.md
│       ├── cv_bible_ahmet_kerem_ozbay.md
│       ├── cv_sector_best_practices.md
│       ├── debate_transcript.md
│       ├── job_ads_summary.md
│       ├── job_ads/
│       │   ├── *.json
│       │   └── html/*.html
│       └── samples/*.html
└── source
    └── AHMET_KEREM_OZBAY_CV.pdf

What each key file does

CV drafts (the “deliverables”)

• artifacts/cv_research/Ahmet_Kerem_Ozbay_CV_EN.md
  • The current English CV.
  • Formatted for Forgejo PDF export to stay single-page.
• artifacts/cv_research/Ahmet_Kerem_Ozbay_CV_EN.html
  • HTML version of the same CV content (useful for printing or sharing in browser-only environments).
• artifacts/cv_research/Ahmet_Kerem_Ozbay_CV_EN.docx
  • Word export of the same CV content.

Guidance (how to keep improving without breaking format)

• artifacts/cv_research/cv_bible_ahmet_kerem_ozbay.md
  • Rules for structure, section ordering, wording, and tailoring.
  • Includes a checklist for customizing per job ad.

Research + decision trail (why the CV is shaped this way)

• artifacts/cv_research/debate_transcript.md
  • A simulated but structured debate between HR, a recruiter, and 3 example employers.
  • Used to validate which edits are realistic and which are likely to be rejected.
• artifacts/cv_research/cv_sector_best_practices.md
  • Best-practice patterns extracted from comparable warehouse/logistics CV guides.

Job ads (for tailoring and keyword mirroring)

• artifacts/cv_research/job_ads_summary.md
  • Index of collected job ads + links + local file pointers.
• artifacts/cv_research/job_ads/*.json
  • Raw structured job-ad payloads (search index hits).
• artifacts/cv_research/job_ads/html/*.html
  • Downloaded job-ad pages for offline review.

Original input

• source/AHMET_KEREM_OZBAY_CV.pdf
  • The original CV PDF that was used as the base.

How to update the CV without breaking the 1-page PDF

Recommended process:

1. Edit artifacts/cv_research/Ahmet_Kerem_Ozbay_CV_EN.md (keep the content truthful).
2. Re-export PDF and confirm it remains 1 page.
3. If a section spills to page 2, compress by:
   • collapsing bullets into a single line separated by •
   • merging low-priority headings into a combined line (as currently done)
4. Regenerate DOCX if needed (Word formatting can be adjusted independently).

Notes on scope and privacy

• Don’t add passwords, tokens, or private IDs to this repo.
• The job-ad HTML/JSON is included for tailoring; if you share this repo externally, consider removing artifacts/cv_research/job_ads/ and artifacts/cv_research/samples/.