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 predefined evaluation criteria.
Features
Skill rating matrix (backend, cloud, security, DevOps)
Automated skill match scoring formulas
Shortlist recommendation logic
Candidate ranking by match percentage
Founder dashboard with filtering by role
Impact
Standardized candidate evaluation
Increased shortlist accuracy
Reduced bias in early-stage screening
Enabled data-backed hiring decisions
Tools
Airtable, Formula Logic, Structured Scoring System, Dashboard Inter
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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 whether roles are properly defined before recruitment begins.
Features
Role objective and business alignment tracking
Must-have vs nice-to-have skill definition fields
Success metrics documentation
Budget and stakeholder alignment checks
Executive dashboard for role status visibility
Impact
Prevented premature or misaligned hiring
Improved clarity before job postings
Reduced repeated candidate rejections
Strengthened alignment between talent and leadership
Tools
Airtable, Role Definition Framework, Formula-Based Readiness Scoring, Executive Dashboard
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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, interview tracking, and feedback documentation. This improved visibility across the hiring process, streamlined shortlisting, and significantly reduced manual tracking time.
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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 improved shortlist quality, reduced unnecessary interviews, and supported more informed hiring decisions.
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