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18 followers · 35 following
  • Freelance certified health data analyst
  • Bothell, WA
  • 05:39 (UTC -07:00)
  • LinkedIn in/salomescherer

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ChapaMchivi/README.md

Hi there

I am a Healthcare Engineer dedicated to building robust, equitable, and privacy-compliant AI systems. My work focuses on transitioning machine learning models from experimental prototypes into high-reliability clinical decision support systems (CDSS). I specialize in Reliability Engineering for Healthcare AI, combining rigorous data governance with algorithmic fairness and automated clinical workflows.

🛠 Languages and Tools:

  • Languages: Python (Pandas, Scikit-Learn, NumPy), C# (.NET 8), SQL, JavaScript.
  • AI/ML Platforms: Azure Machine Learning, MLFlow, Scikit-learn, Fairlearn.
  • Clinical Interoperability: FHIR (HL7), HEDIS standards, HIPAA-compliant pipeline architecture.
  • Automation & Agents: n8n, LangChain, Google Gemini API.
  • Visualization & BI: Tableau, IBM Cognos, Matplotlib/Seaborn.
  • Web & Data: Node.js, MongoDB, REST APIs.

📈 What I'm working on:

  • Reliability Frameworks: Designing "Uncertainty Guardrails" for ICU mortality models to mandate human-in-the-loop intervention.
  • Algorithmic Fairness: Auditing triage systems to ensure performance equity across demographic cohorts.
  • FHIR Interoperability: Automating the transformation of legacy clinical data into modern, interoperable health standards.

🚀 Featured Projects

🏥 Healthcare AI & Reliability Engineering

  • icu-reliability-framework: Validated, audit-ready ICU mortality prediction framework with automated safety guardrails. #ClinicalAI #AzureML #ReliabilityEngineering
  • ed-triage-fairness-audit: Algorithmic bias audit of an ED clinical triage model. #ResponsibleAI #BiasMitigation #Fairlearn
  • MyFhirApp: .NET 8 pipeline for transforming clinical CSV health data into FHIR resources. #FHIR #HL7 #DataInteroperability
  • hedis-hospital-analysis: HEDIS-aligned analysis for public health screening and outcomes. #HEDIS #ClinicalAnalytics #Python

🤖 AI Agentic Workflows & Automation

  • Rural-GP-Clinic-Feedback-Agent: n8n agentic workflow for automated, high-precision triage of patient feedback. #n8n #AgenticAI #WorkflowAutomation
  • Feedback-Agent-n8n: Automated pipeline leveraging Google Gemini for clinical communication analysis. #GeminiAI #Automation #LangChain

📊 Data Science & Visualization

  • Cardiovascular-Disease-Dataset: Machine learning pipeline for cardiovascular risk prediction. #MachineLearning #HealthData #PredictiveModeling
  • tableau-web-project-v1: Analysis of hospital Length of Stay performance metrics. #Tableau #DataViz #HealthcareAnalytics
  • ibm-cognos-portfolio: Business intelligence dashboard showcasing hospital operational performance. #IBM-Cognos #BusinessIntelligence

🌐 Web Applications

  • apollonia-employee-app: CRUD backend for hospital employee and department management. #MongoDB #NodeJS #WebDev
  • weather-app-backend: REST-API backend service for real-time environment data. #REST-API #JavaScript #Backend

📫 Reach out for collaborations: LinkedIn

Pinned Loading

  1. healthcare-ai-bias-audit healthcare-ai-bias-audit Public

    An automated fairness auditing pipeline for clinical triage models, evaluating demographic parity and equalized odds across healthcare datasets using Fairlearn.

    Jupyter Notebook

  2. ed-triage-fairness-audit ed-triage-fairness-audit Public

    An algorithmic bias audit and fairness evaluation of an emergency department clinical triage model using Azure Machine Learning and macro-balanced mitigation strategies.

    Python 1

  3. MyFhirApp MyFhirApp Public

    .NET 8 pipeline for transforming CSV health data into FHIR resources with modular mapping, structured logging, and unit tests. Current milestone delivers dry‑run validation and test coverage. Futur…

    C#

  4. apollonia-employee-app apollonia-employee-app Public

    Build a CRUD backend for managing employees and departments at Apollonia Dental Practice

    JavaScript

  5. Feedback-Agent-n8n Feedback-Agent-n8n Public

    Automated feedback‑processing workflow built in n8n. Reads new customer reviews from Google Sheets, classifies them with Google Gemini, and routes each message to the right team automatically.

  6. Rural-GP-Clinic-Feedback-Agent Rural-GP-Clinic-Feedback-Agent Public

    A lightweight agentic‑AI workflow built in n8n to help a rural GP clinic automatically triage patient feedback. Using LLM‑based classification, structured routing, and human oversight, it categoriz…

    1