Leadership & Systems Thinking
My career has been shaped by environments where technology, science, and operational complexity intersect. From aerospace engineering to genomic research to healthcare interoperability, the challenge has remained fundamentally the same: designing reliable systems that help people make better decisions under real-world constraints.
I am drawn to work that requires both technical depth and strategic clarity translating complex requirements into architectures that scale, adapt, and deliver measurable impact. That includes knowing when to build, when to integrate, and how to lead cross-functional teams through ambiguous problems with confidence.
Healthcare & Interoperability
Over the past decade, my primary focus has been healthcare interoperability building the platforms that allow health data to move securely, accurately, and usefully between the systems that need it.
That work has included cloud-native FHIR platforms supporting federal CMS interoperability mandates, SMART on FHIR access models, Bulk Data exchange, and population health analytics operating at Medicaid and enterprise scale. A significant part of this work involves translating evolving regulatory requirements into practical engineering solutions — balancing compliance, security, scalability, and usability across complex healthcare ecosystems.
I approach interoperability not simply as a technical requirement, but as infrastructure for better care coordination, more equitable access to data, and ultimately improved patient outcomes.
Scientific Computing & Bioinformatics
Work in biotechnology and genomics introduced me to a different kind of engineering challenge, one where precision, reproducibility, and scientific integrity are as important as performance and scale.
I have built platforms supporting microbiome research, CRISPR initiatives, DNA analysis workflows, and laboratory systems integrating distributed Next-Generation Sequencing pipelines. These projects required close collaboration with researchers, statisticians, and clinicians, translating highly specialized scientific processes into systems that are both technically rigorous and practically usable by the people doing the science.
That experience reinforced something that has stayed with me: the best technical work happens when engineers genuinely understand the domain they are building for.
Cloud Platforms & Data Engineering
Much of my work has centered on distributed, cloud-native architectures capable of processing large-scale healthcare and scientific datasets reliably and at speed.
That includes event-driven interoperability pipelines, enterprise API platforms, analytics environments, and high-volume data normalization services across AWS and Google Cloud. The problems I find most compelling are those involving scale, integration complexity, and operational reliability particularly where the systems must remain technically sound while staying accessible to the people who depend on them daily.
Aerospace, Infrastructure & Reliability
My engineering foundation was built in environments where failure was not an option. Early work in aerospace and real-time defense systems, followed by a decade building enterprise networking and telecommunications infrastructure, shaped an approach to architecture grounded in resilience, observability, and operational discipline.
The technologies evolved over the years, but the core responsibility remained the same — building systems people can depend on when the stakes are high.
Perspective
Across aviation, defense, genomics, healthcare, and cloud computing, the common thread has been an interest in understanding how complex systems behave and how thoughtful engineering makes them safer, more effective, and more useful to the people relying on them.
I am motivated by difficult problems, interdisciplinary collaboration, and the opportunity to apply technology in ways that produce meaningful, lasting impact.