• Led the Engineering Teams for Data Acquisition and Data Platform at USAFacts, overseeing a re-architecture of the data platform leading to a 10x velocity improvement for the data platform and laid out and currently executing on a roadmap for an additional 10x improvement.• Successfully hired and managed a new Data Acquisition team, enhancing cross-functional data operations.• Formalized the data operations discipline, resulting in improved efficiency and data quality.

• Spearheaded development of a product roadmap to guide a cohesive integration of 5 companies into a single engineering organization following acquisition.• Built a strong senior engineering team by executing a talent search, identifying and onboarding recruiting partners, and interviewing, leveling, and onboarding new team members.• Optimized engineering efficiency by separating product and operational responsibilities and overseeing transition of duties to a newly formed operations team. • Enabled timely product delivery by leading development teams to proactively identify and remediate technical gaps.• Built trusting customer relationships by orchestrating technical collaboration between engineering teams.• Architected supportable software through observability to reduce issue time to detection.

• Founded and managed a team of 3 senior software engineers and one junior engineer. Identified skill gaps in current team structure and implemented hiring plan.• Architected and implemented point-of-care integration for ML predictions in Cerner EMR, enabling explainable predictions to be used in the exam room without workflow modifications.• Supported multiple enterprise customers operationalizing predictions for thousands of patients across dozens of facilities, protecting the majority of KenSci’s revenue.• Lead 6 models from data science research to production to enable products built at one Medicare Advantage Plan to be deployed at other similar organizations.

• Designed and lead E2E implementation of proof-of-concept projects at 3 multi-hospital systems and 1 commercial payor, resulting in a repeatable software solution.• Architected and deployed E2E world-first near-real-time patient flow predictive solution at premier hospitals in a large academic hospital system, with support for ongoing systemwide expansion.• Developed workflow integrations of the Patient Flow solution by engaging end users (clinicians and medical staff) throughout the project lifecycle.• Developed solutions for risk of readmission prediction at a payer and built a solution for "left without being seen" prediction and high cost NICU patients.

• Independently designed and implemented a clinic management tool for a provider network and TPA in Souteast Asia. • Developed a prediction tool for Emergency Department arrivals for a local hospital including ML model orchestration and native UI development in React JS.• Independently designed and implemented storage layer and RESTful backend for clinic management suite.• Performed ETL for proof of concept work at 3 multi-hospital systems.

• Designed and built distributed micro-services for cloud operations and capacity planning and prediction.• Mentored 3 junior team members to encourage and enforce good engineering and development practices.

• Shipped Entity Framework 6 and developed 7• Built Performance Testing tool for EF 7 and ASP.NET 5• Developed query generation pipeline for EF7• Exploratory Testing of new API/framework design• Verified bug resolution and functionality of new features.msdn.com/data/efentityframework.codeplex.comgithub.com/aspnet/entityframework

Developed the REST APIs to integrate with 3rd party reference data services and to serve consolidated data to support a voice assistant app

I did mobile development as I updated our Android demo, as well as updating internal test tools and publishing internal websites