Python-based healthcare compliance tracking project that monitors training, licensing, and vaccination status, then turns raw records into KPI dashboards, department summaries, and action-ready follow-up lists.
3 bullets:
Tracked 200 staff records across multiple hospital departments using a structured compliance classification model.
Generated executive KPIs, overdue requirement analysis, and department-level compliance summaries.
Produced action-ready outputs including critical cases and overdue detail files for operational follow-up.
A research-assistant project exploring how AI applications can retrieve information and improve the quality of their responses through a self-correction workflow.
Project focus
Python-based AI application development.
Retrieval and research workflow design.
Improving answer reliability through evaluation and correction.
Self-correcting retrieval is the upgrade RAG has needed, Daniel. Most systems stop at the first retrieval and hope for the best, so building evaluation and correction into the workflow is a real reliability win. The live telemetry dashboard makes it feel production-ready.
Think about how much time you spend every week doing the same things.
Replying to customer emails.
Following up with potential clients.
Updating spreadsheets.
Managing leads.
Moving information between applications.
Sending reminders and notifications.