Ayman Ramadan
Healthcare AI & Automation Specialist
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The DNA of Branding — Agent First Lab
The DNA of Branding — Agent First Lab is a Figma Make experience that turns brand traits and a single scribbled gesture into a complete brand identity system.
Instead of choosing from logo templates, you describe how the brand should feel, draw one continuous stroke, and let the agent do the reasoning.
In one run, the agent:
→ Analyzes the gesture across 6 reasoning phases
→ Selects a brand archetype and construction method
→ Commits to a single logo mark with precise geometric parameters
→ Writes a full Brand DNA Report — including System Decision and Design Logic
→ Builds out color palette, typography system, and Applied Identity
(business card, app icon, website header, social profile)
When you’re ready to use it, you can export the mark as SVG, copy the SVG code, or push it straight back into your Figma workflow.
Try the live experience:
https://entry-unity-56222348.figma.site
Built entirely with Figma Make for the Config Makeathon.
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AI-Powered Hospital Incident Intake & Escalation Workflow
An n8n workflow that automates hospital incident reporting — captures submissions from Google Forms, uses Groq AI to classify severity (Critical/High/Moderate/Low), logs to Google Sheets, and instantly alerts the safety manager for critical events. Built for healthcare quality & safety teams to eliminate manual triage and missed escalations.
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Staff Compliance Tracker for Healthcare Teams
Python-based healthcare compliance tracking project that monitors training, licensing, and vaccination status, then turns raw records into KPI dashboards, department summaries, and action-ready follow-up lists.
3 bullets:
Tracked 200 staff records across multiple hospital departments using a structured compliance classification model.
Generated executive KPIs, overdue requirement analysis, and department-level compliance summaries.
Produced action-ready outputs including critical cases and overdue detail files for operational follow-up.
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Hospital Incident Safety Dashboard
Python-based healthcare dashboard for analyzing incident trends, severity distribution, and high-risk hospital departments.
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