Clinical AI Systems Engineer Nurse Practitioner

From Critical Care
to Critical Code.

I design intelligent systems with explicit assumptions about failure, misuse, and operational risk — informed by years of critical care practice.

An engineering mindset shaped by real-world system failure, time pressure, and safety-critical decision-making.

Chat System Status
Checking…
CurrentSynapSys - LLM Orchestration
FocusProduction-Oriented AI Systems
PrinciplesFailure- & Threat-Aware Design
ClinicalCritical care NP · 8 years

About

I’m a critical care nurse practitioner who transitioned into systems engineering after repeatedly seeing software and workflows fail under real-world stress. During COVID, system failures weren’t theoretical — they directly impacted safety, decision-making, and resource availability. That experience shaped how I design software systems: I assume pressure, misuse, partial failure, and evolving requirements from the start. Healthcare is where this perspective was forged, but my engineering work spans intelligent systems and security-adjacent domains where reliability, correctness, and operational resilience matter.

David is a deeply knowledgeable and composed clinician. His calm demeanor and clinical insight are qualities that consistently benefit patients and colleagues alike.
— Tarkeshwar Tiwary, MD
Director of Critical Care Medicine
WellSpan Health

Design Principles

Project Spotlight

Ongoing systems focused on architecture, robustness, and failure-aware design.

Engineering Portfolio

Additional projects spanning deep learning, optimization, and networking.

Blending clinical expertise with digital innovation, David streamlines care through smarter documentation and workflow solutions. His work ranges from leading departmental projects like ICU note standardization to supporting system-wide initiatives in problem list refinement and inpatient optimization.
— Manjot Gill, MD
Associate Chief Medical Information Officer
WellSpan Health