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Francis Affonah Junior

@francisaffonahjunior

Independent ML Engineer building production clinical AI, including a ClinicalBERT triage classifier with 0.879 macro AUC.

Ghana

Message

As an Independent ML Engineer, I built and deployed six production ML systems, including the ClinicalBERT Triage Classifier, which fine-tunes Bio_ClinicalBERT for clinical triage and achieved a macro AUC of 0.879.

I built ClinicalMind, an agentic multi-domain clinical RAG system using hybrid retrieval and a cross-encoder reranker. It passed 71 automated tests and was deployed on Azure Container Apps.

My clinical nursing background shapes how I approach model failures: in healthcare, they have consequences. I also built a production medical insurance risk classifier with an AUC of 0.899 and a pharmaceutical intelligence platform covering more than 273,000 medicines.

Experience

Work history, roles, and key accomplishments

Current

Independent ML Engineer

Current

Self Employed

Aug 2024 - Present (2 years 2 months)

Built and deployed six production ML systems including ClinicalBERT Triage Classifier, ClinicalMind RAG, and Medical Insurance Risk Classifier. Delivered full-stack solutions with data engineering, model training, API development, containerization, and automated testing.

PyTorch Hugging Face Transformers Lang Chain Pgvector BM25 RRF fastAPI Docker Azure Container Apps MLFlow Pytest GitHub Actions XGBoost LightGBM SHAP Streamlit

Healthcare Data Analyst

Freelance Contract

Aug 2023 - Jul 2024 (11 months)

Analyzed 5,223 health facilities across 10 African countries using World Bank data, building an end-to-end ML pipeline with Random Forest (R²=0.9911). Processed 29,000+ missing values and engineered 26 features, generating 18 policy recommendations.

Python Random Forest Data imputation Feature Engineering World Bank Data Policy Analysis

Registered Nurse (RN)

Cape Coast Teaching Hospital

Sep 2021 - Jun 2023 (1 year 9 months)

Delivered patient care across high-acuity settings, gaining fluency in medical terminology, EHR data quality issues, and decision-making under uncertainty.

Patient Care Medical Terminology Electronic Health Records (EHR)Clinical Decision Making