Ezuma Grace
Organizing tech hiring beyond keyword screening
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AI-Augmented CV Intelligence System
Problem
Manual CV screening relied heavily on keywords and subjective interpretation, leading to inconsistent candidate ranking.
System Built
Created a structured Airtable-based skill intelligence system that scores and ranks candidates using...
Technical CV Screening Framework
Developed a structured technical CV screening framework to manage high application volumes for junior roles. The checklist prioritized role alignment, practical hands-on experience, and growth potential over keyword-heavy resumes. This approach...
Hiring Readiness & Role Clarity Framework
Problem
Startups often begin hiring without clearly defined role objectives, success metrics, or evaluation criteria, leading to delays and poor hiring outcomes.
System Built
Developed a hiring readiness framework in Airtable to assess...
AI-Augmented CV Intelligence System
Problem
Manual CV screening relied heavily on keywords and subjective interpretation, leading to inconsistent candidate ranking.
System Built
Created a structured Airtable-based skill intelligence system that scores and ranks candidates using...
Intern Hiring Tracker (Notion)
Designed and implemented a centralized Notion-based hiring tracker to organize intern and junior applications previously scattered across emails and spreadsheets. The system structured candidates into clear pipeline stages with role assignments,...
