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Career Ops
A job hunt that runs itself — and out-pitches everyone.
- Role
- Product, sale & build
- Context
- Sold and deployed for job seekers in Dubai, 2026
- Stack
- Python, Claude API, Notion API, Apollo, FastAPI, Playwright, Vercel
Career Ops — the film
- 2h → 10mper application
- Hiredclients placed in Dubai
- 5live landing pages generated
The problem
Applying manually took 1–2 hours per role and produced generic materials that didn't differentiate. The goal: cut the time to minutes and make every application impossible to ignore.
What I did
- 1Built a Python pipeline that discovers roles, hard-filters them, and scores fit with Claude into a Notion CRM.
- 2Auto-generates a tailored CV, cover letter and context-aware application answers per role.
- 3Produces value-add deliverables — branded pitch decks and interactive landing pages — deployed live on Vercel.
- 4Surfaces everything in a review dashboard: nothing sends without a human approving it.
Outcome
- Clients landed roles in Dubai using the system.
- Application time cut from ~2 hours to ~10 minutes, with far stronger materials.
- Each pack ships a custom brand deck + live landing page — e.g. the Henkel ‘Frizz Forecast’ campaign.
Gallery
01 / 088 imagesExample deliverables
Real outputs the system generated: live landing pages and a PDF deck.