Messy? Complicated? I'm interested.

I design interactive, executable workflows that bridge procedure and quality control. I build dual-purpose tools combining step-by-step execution checklists with built-in audit reports. For example, in my bankruptcy workflow, the paralegal uses the document as an active checklist during file prep, executes a 28-point SOFA/Schedule audit during drafting, and relies on the final section for post-filing tracking. 

I solve root-cause operational breakdowns. I investigate where organizational systems and data pipelines fall apart, re-architect the underlying processes, and drive staff adoption from the ground up. In these case studies, I show how I turn messy, unreliable administrative records into structured systems that power real business decisions. 

I use code to audit systems, validate data integrity, and surface insights that spreadsheets miss. I write Python scripts, build SQL queries, and construct predictive models to clean large datasets and evaluate operational risk. These projects demonstrate how I apply data engineering directly to real-world business challenges.