Hi, I’m Mark.

I’m a data engineer and applied machine learning practitioner focused on building reproducible data pipelines and evaluation-driven ML systems.

My work spans health data, model comparison and validation, and biomedical ML, with experience working with real-world datasets (e.g., ADNI).

Selected work:

• Wearable data pipeline (local-first ingestion, dbt transformations, CI)
  https://github.com/mrkchoe/wearable-data-pipeline
• Model comparison and evaluation experiments
  https://github.com/mrkchoe/ad-mri-pet-model-comparison
• Alzheimer’s disease imaging / ADNI research project
  https://github.com/mrkchoe/publications