Portcraft layouts and project evidence
Non-visual work needs reproducible artifacts. Small synthetic inputs and expected outputs make automation projects understandable without a hosted application.
This demo uses the real 💕 Valentine preset with fictional projects and a fictional profile. There are no customer details, invented employers, endorsements, or external project links. Scroll inside the preview to explore the layout.
Open the full-size fictional demo →A fictional command-line tool that validates CSV inputs and emits actionable row-level error reports.
Evidence to add to your own portfolio: Show a small synthetic input, expected output, edge-case tests, and dependency setup so the result can be reproduced.
A fictional FastAPI service with typed request models and database-backed inventory updates.
Evidence to add to your own portfolio: Explain validation, transaction boundaries, API documentation, and concurrent-update tests with non-production data.
Upload your own resume, verify the extracted details, and select 💕 Valentine in the free builder gallery. Replace the examples with work you have done and links you have permission to publish. Previewing is free; hosted publishing is a separate request.
Read the Python Developer Portfolio Template plan →