Ejiaka Nwaeze

About

Ejiaka Nwaeze works in AI engineering, based in Nigeria (Covenant University). Clinical AI Evaluation Engineer | NVIDIA Certified | Bridging Medical Science & Generative AI. Public projects on GitHub include Clinical Ai Lab (A collection of Clinical AI tools), Clinical Llm Safety Evaluation Suite (QA-style clinical LLM safety evaluation harness: CSV test pack, rule-based rubric scoring, defect log, run…) and Clinical-RAG-Assurance-Engine (Clinical RAG system on WHO Malaria Guidelines + security auditing (PII redaction, red-teaming, safety…), mostly written in Python.

Projects 6

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  Clinical Ai Lab

  A collection of Clinical AI tools. Currently features a Genomic Bio-Parser for analyzing Malaria DNA sequences (FASTA) and calculating molecular stability for AI-assisted diagnosis

  github.com
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  Clinical Llm Safety Evaluation Suite

  QA-style clinical LLM safety evaluation harness: CSV test pack, rule-based rubric scoring, defect log, run manifests, reports — evaluates responses, does not train models.

  github.com
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  Clinical-RAG-Assurance-Engine

  Clinical RAG system on WHO Malaria Guidelines + security auditing (PII redaction, red-teaming, safety certificates)

  github.com
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  Clinical-AI-Security-Pipeline

  End-to-end pipeline for red teaming a clinical AI model

  github.com
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  Auditable-CKD-Risk-Pipeline

  A comprehensive, auditable machine learning pipeline for Chronic Kidney Disease (CKD) risk prediction with full traceability, explainability, and regulatory compliance. This project demonstrates end-to-end clinical AI evaluation practices, from data quality validation and model training to explainability assessment and production monitoring.

  github.com
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  Med-RAG-Validator

  Designed for Automated Clinical Assurance with Rigorous Evaluation Metrics

  github.com