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Rediet Gelaw

@redietgelaw

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I build healthcare data and AI solutions, from EMR data quality controls to RAG-based patient support tools.

United States

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What I'm looking for

I'm seeking a data or AI team where I can apply healthcare domain knowledge, clinical data-quality experience, and hands-on work in predictive modeling and RAG-based LLM systems.

I owned patient intake data quality at ProCare Home Health and data integrity between imaging devices and the EMR at Capital Eye Care, resolving record mismatches before clinical review. I also reduced intake data-entry errors by approximately 20% through recurring validation audits and standardized quality-control procedures.

I'm completing an M.S. in AI–Data Analytics and have built a RAG-based healthcare chatbot, analyzed 150,000+ cricket records, and improved CNN image-classification accuracy from 95.7% to 98.5%.

Experience

Work history, roles, and key accomplishments

Clinical Systems & Data Integrity Specialist

Capital Eye Care

Jun 2025 - Feb 2026 (8 months)

Operated and maintained OCT and visual field imaging systems supporting 50+ patients daily with no unplanned downtime. Owned data integrity between imaging devices and the EMR, verifying scan records and resolving mismatches before clinical review.

OCT Visual Field Analysis EMR Data Integrity Troubleshooting System Administration

Medical Intake & Data Coordinator

ProCare Home Health

Jun 2024 - Feb 2025 (8 months)

Managed HIPAA-compliant intake data across 200+ records per month, acting as the quality checkpoint before records entered the clinical system. Reduced data entry errors approximately 20% by designing and running recurring validation audits against intake data entry standards.

HIPAA Data Entry Data Quality Validation Audit Coordination

Education

Degrees, certifications, and relevant coursework

Indiana Wesleyan University

Master of Science, Artificial Intelligence – Data Analytics

2025 -

Pursuing a Master of Science in Artificial Intelligence – Data Analytics, with coursework in LLMs, machine learning, deep learning, and predictive modeling. Expected to graduate in January 2027.