I'm Graydon Diaz, a software engineer who progressed from foundational application development to leading AI/ML engineering roles within regulated healthcare environments. I built expertise through hands-on delivery of production systems, gradually taking ownership of increasingly complex technical domains—from backend services and data pipelines to machine learning deployment and LLM integration. Now I specialize in responsible AI implementation that enhances clinical workflows while maintaining strict HIPAA compliance and patient safety standards. I partner with clinicians to design AI interfaces that improve patient outreach, scheduling, and medication adherence, and I establish rigorous model validation, bias detection, and audit trails. I also focus on secure data handling, observability, and collaboration with security teams to ensure privacy and compliance throughout the ML lifecycle.

Graydon Diaz

I'm Graydon Diaz, a software engineer who progressed from foundational application development to leading AI/ML engineering roles within regulated healthcare environments. I built expertise through hands-on delivery of production systems, gradually taking ownership of increasingly complex technical domains—from backend services and data pipelines to machine learning deployment and LLM integration. Now I specialize in responsible AI implementation that enhances clinical workflows while maintaining strict HIPAA compliance and patient safety standards. I partner with clinicians to design AI interfaces that improve patient outreach, scheduling, and medication adherence, and I establish rigorous model validation, bias detection, and audit trails. I also focus on secure data handling, observability, and collaboration with security teams to ensure privacy and compliance throughout the ML lifecycle.

Available to hire

I’m Graydon Diaz, a software engineer who progressed from foundational application development to leading AI/ML engineering roles within regulated healthcare environments. I built expertise through hands-on delivery of production systems, gradually taking ownership of increasingly complex technical domains—from backend services and data pipelines to machine learning deployment and LLM integration.

Now I specialize in responsible AI implementation that enhances clinical workflows while maintaining strict HIPAA compliance and patient safety standards. I partner with clinicians to design AI interfaces that improve patient outreach, scheduling, and medication adherence, and I establish rigorous model validation, bias detection, and audit trails. I also focus on secure data handling, observability, and collaboration with security teams to ensure privacy and compliance throughout the ML lifecycle.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior AI/ML Engineer at Revere Health
June 1, 2023 - January 1, 2026
Led the design and deployment of a clinical documentation assistant using the OpenAI API; engineered a retrieval-augmented generation system grounded in clinical guidelines; implemented AI inference pipelines integrating LangChain with EHR data sources; established model validation, bias detection, and audit trails; collaborated with clinical stakeholders to design AI interfaces improving patient outreach, scheduling, and medication adherence; built observability infrastructure with structured logging, latency monitoring, and output quality metrics; transitioned chronic disease management workflows from rule-based logic to adaptive ML-driven interventions; developed secure API gateways and authentication layers for AI services; conducted model performance reviews with clinical leadership; authored technical specifications and decision records balancing innovation velocity with healthcare compliance; partnered with security teams on data anonymization techniques and access controls for
Senior AI/ML Engineer at WelbeHealth
October 1, 2020 - May 1, 2023
Developed backend services in Python and C# to process clinical assessments, claims data, and social determinant information; contributed to predictive modeling initiatives by building data pipelines for hospitalization risk models; engineered natural language processing workflows to extract structured clinical concepts from unstructured physician notes; implemented CI/CD pipelines for machine learning artifacts, enabling reproducible model training and deployment; built real-time feature stores supporting inference for time-sensitive clinical decision points; developed data validation frameworks to detect anomalies in clinical datasets before model training cycles; implemented model monitoring systems to track prediction drift and performance degradation; partnered with compliance teams to design data processing workflows maintaining strict separation between identifiable patient information and analytical datasets; created synthetic data generation tools enabling safe model experimen
Software Engineer at Programming.com
August 1, 2017 - October 1, 2020
Developed backend services using C#, .NET Core, and Entity Framework to implement business logic for financial transaction processing applications; built responsive user interfaces with React and TypeScript for client-facing dashboards; implemented RESTful APIs with comprehensive OpenAPI specifications to integrate client systems with third-party payment processors and shipping providers; wrote unit tests using xUnit and integration tests validating end-to-end transaction flows for mission-critical financial applications; participated in Agile ceremonies; collaborated with senior engineers during pair programming sessions to implement complex features and learn system architecture patterns; fixed production defects identified through Sentry and Datadog monitoring, performing root cause analysis and deploying patches through CI/CD pipelines; contributed to database schema design and query optimization efforts for PostgreSQL databases; implemented authentication flows using OAuth 2.0 and

Education

Bachelor’s Degree in Computer Science at Louisiana State University
August 1, 2010 - August 1, 2014

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Professional Services, Software & Internet, Life Sciences