Peter Lubell-doughtie is a seasoned AI and machine learning leader with 17 years of experience building production-grade systems, currently heading AI/ML at a stealth startup. As Co-Founder and CTO of Ona Systems he grew engineering from zero to 40+ while architecting globally deployed health platforms that serve millions and directly improve patient outcomes. He specializes in translating cutting-edge research into reliable, scalable healthcare solutions—ranging from unsupervised risk scoring and computer vision for diagnostics to generative transcription and clinical summarization—while retaining P&L and operational ownership. His background spans startups, academia, and enterprise data engineering, with early research and implementations at Princeton and Stanford and a MSc in Artificial Intelligence from the University of Amsterdam. An active contributor to healthcare open-source tooling, he added robustness to the well-known Android FHIR SDK by improving test coverage and functional clarity for clinical rule evaluation. He combines hands-on engineering across stacks with proven recruiting and mentorship skills, making him as comfortable writing core algorithms as running a growing engineering organization.
17 years of coding experience
19 years of employment as a software developer
MSc Artificial Intelligence, MSc Artificial Intelligence at University of Amsterdam
BS Symbolic Systems, BS Symbolic Systems at Stanford University
The Android FHIR SDK is a set of Kotlin libraries for building offline-capable, mobile-first healthcare applications using the HL7® FHIR® standard on Android.
Role in this project:
Mobile Developer (Android)
Contributions:17 reviews, 16 commits, 6 PRs in 5 days
Contributions summary:Peter's primary contribution involved adding tests for the `EnablementEvaluator` class, which is part of the Android FHIR SDK. They implemented tests to cover different scenarios, including the "equals" and "not equals" operators. The user also refactored code by utilizing extension predicates and contains functions and addressing indentation and formatting issues. This work directly relates to enhancing the functionality and reliability of the Android FHIR SDK for healthcare applications.
Contributions:1 release, 13 commits, 6 PRs in 8 months
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