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SamInMotion/README.md

πŸ‘‹ Hi, I'm Sam

I'm a machine learning practitioner interested in explainable AI, small data challenges, and healthcare applications.
My background is in linguistics, and I approach AI through a language and cognition lens, utilizing context through knowledge graphs, ontologies, and semantic web technologies.

Currently based in Ghana, I’ve worked on projects ranging from clinical text classification to building semi-autonomous agents for legal reasoning.
I care about making AI understandable and trustworthy for real-world users β€” especially in high-stakes fields like medicine.


✳️ Areas of Interest

  • Explainable AI for healthcare
  • Knowledge-augmented machine learning
  • Human-in-the-loop systems
  • NLP in clinical and legal domains

πŸ“˜ Recent Work

  • Medical Screening Pipeline
    Used ontology-enhanced ML to reduce manual review time from 6 months to 1 week

  • Agentic Legal AI
    Developed LLM-integrated agents with tool-use workflows and validation mechanisms

  • Churn & Risk Models
    Built interpretable models with uncertainty estimates for business and patient decisions


πŸ§ͺ Tools I Work With

Python, PyTorch, TensorFlow, SHAP, Hugging Face, Azure, REST APIs, SNOMED-CT (medical ontologies), ML Flow, SQL


πŸ”­ Currently Building

GDPR AI Compliance Scorer - Automated regulatory checking for healthcare AI systems Agentic Medical Assistant - Conversational AI that actually understands clinical context Production ML Templates - Because good AI needs good engineering


🌱 Learning & Exploring

  • Advanced RAG architectures & vector databases
  • MLOps best practices (currently pursuing certification)
  • Swedish SE β€” preparing for Nordic opportunities

🀝 Looking to Collaborate On

  • Explainable AI for high-stakes decisions
  • Healthcare AI with limited training data
  • Knowledge graph integration with LLMs
  • Open-source tools for medical NLP

πŸŽ“ Academic Background

  • M.A. Linguistics (Computational focus), University of Bergen
  • Undergraduate in Language & Philosophy
  • Certifications: Deep Learning Specialization (in progress), Azure Fundamentals, ML Engineer(Datacamp)

πŸ“­ Contact

Feel free to reach out β€” whether you're working on similar problems or just curious.
πŸ“§ sammy.okmens@gmail.com
πŸ”— LinkedIn
-The best AI isn't the most complex β€” it's the one that solves real problems with the data you actually have.

Pinned Loading

  1. Medical-intervention-text-classification Medical-intervention-text-classification Public

    Text Classification for the Automation of Article Selection on the Effectiveness of Medical Interventions Code

    Jupyter Notebook 2

  2. customer-churn-explainable-prediction customer-churn-explainable-prediction Public

    Exploratory analysis of energy customer churn factors

    Jupyter Notebook

  3. heart-disease-risk-model-xai heart-disease-risk-model-xai Public

    Machine learning models and analysis for predicting heart disease using clinical data.

    Jupyter Notebook

  4. multimodal-ai-prompt-analysis multimodal-ai-prompt-analysis Public

    Script for analyzing text prompts, correlations between prompts and images in Midjourney

    Jupyter Notebook