Building a Sub-Second Resume Parser and ATS Diff Engine

When applying for engineering roles, automated applicant tracking systems (ATS) often silently reject candidates due to parsing blockers like multi-column layouts, missing quantitative metrics, or non-standard font embeddings.

To fix this latency bottleneck, I built MyRizzume (https://myrizzume.me) — designed to parse and score resumes end-to-end in under 1,000ms.

What it checks:

1. Layout Integrity: Validates that column and table layouts won’t merge or scramble text during ATS ingestion.
2. Action Verb Strength: Highlights passive phrases and suggests active, quantifiable replacements.
3. Keyword Density: Compares section headers and skill blocks against common parser taxonomies.

Try it out live at https://myrizzume.me and let me know how it handles your layout!