Core contributor to Great Expectations - the leading open source data quality tool. Built, deployed and maintained many data pipelines for teams across healthcare and tech.

I maintain, use, and educate on open source machine learning tools that catalyze outcome improvements across clinical, financial, and operational domains.I am architecting, leading and implementing an improved scalable docker container based deployment system and process for data science and machine learning models. I implemented machine learning models that optimize care management patient intake processes for large academic medical systems.I utilized machine leaning to combat the opioid epidemic by building models for a payor that predict opioid misuse and abuse.I implemented rigorous agile methodologies for the data science team which led to increased productivity, better decisions and improved morale.

Data analysis, product R&D, full stack engineering. I created features and supporting microservices that optimized operations and enabled higher throughput from customer service representatives that drive cost savings and improved user morale. I ran these projects from ideation, data modeling, design prototyping, implementation through production, all with an agile product manager-like user-centric approach.I implemented a real-time telemetry system based on our Kafka event stream that gave key stakeholders faster insight into key business metrics and KPIs.After working with an integration team writing custom integrations to increase customer stickiness, I helped design and implement an extensible productized integration suite that increased time to value and decreased future engineering burden.

Pharmaceutical care, process improvement, product management for cutting edge pharmacy compounding lab operations software.

Pharmaceutical care, compounding, technical support