Summary
Michael Turtora is a senior data engineer and founder with 10+ years of experience applying ML, AI, and cloud engineering to healthcare workflows, currently building scalable OCR and confidence-scoring pipelines in Azure to extract clinical data from legacy FAX systems. He blends a statistician’s rigor (MS in Statistics) with decades of scientific research and hands-on product delivery—spanning a long tenure at the USGS to founding Rubicon Analytics & Development. His work emphasizes practical, auditable AI that knows its limits, enabling real-time and batch processing for eCW and other EHR storage systems. Based in Saint Petersburg, FL, he focuses on turning messy, high-volume data into reliable inputs for value-based care and risk assessment, positioning his solution for broader adoption across healthcare customers.
10 years of coding experience
Massachusetts Institute of Technology
Master of Science - MS, Statistics, Master of Science - MS, Statistics at George Mason University