I am an experienced Staff Software Engineer with over 12 years in healthcare, observability, and fintech startups. I've led the creation of large-scale digital health platforms serving millions of users, optimized data pipelines for thousands of customers, and built secure fintech APIs that significantly reduced unauthorized access. I excel at mentoring, streamlining deployments, and ensuring HIPAA and PCI DSS compliance in fast-paced Agile environments. Throughout my career, I have engineered scalable microservices, integrated complex data systems, and utilized cutting-edge AI technologies for improving personalized healthcare and telehealth services. I thrive on solving challenging architectural problems, collaborating with cross-functional teams, and delivering robust solutions with high uptime and reliability.

Frank Chang

I am an experienced Staff Software Engineer with over 12 years in healthcare, observability, and fintech startups. I've led the creation of large-scale digital health platforms serving millions of users, optimized data pipelines for thousands of customers, and built secure fintech APIs that significantly reduced unauthorized access. I excel at mentoring, streamlining deployments, and ensuring HIPAA and PCI DSS compliance in fast-paced Agile environments. Throughout my career, I have engineered scalable microservices, integrated complex data systems, and utilized cutting-edge AI technologies for improving personalized healthcare and telehealth services. I thrive on solving challenging architectural problems, collaborating with cross-functional teams, and delivering robust solutions with high uptime and reliability.

Available to hire

I am an experienced Staff Software Engineer with over 12 years in healthcare, observability, and fintech startups. I’ve led the creation of large-scale digital health platforms serving millions of users, optimized data pipelines for thousands of customers, and built secure fintech APIs that significantly reduced unauthorized access. I excel at mentoring, streamlining deployments, and ensuring HIPAA and PCI DSS compliance in fast-paced Agile environments.

Throughout my career, I have engineered scalable microservices, integrated complex data systems, and utilized cutting-edge AI technologies for improving personalized healthcare and telehealth services. I thrive on solving challenging architectural problems, collaborating with cross-functional teams, and delivering robust solutions with high uptime and reliability.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
See more

Work Experience

Staff Software Engineer at Elevance Health
June 1, 2025 - August 4, 2025
Led the creation of Sydney Health, a cloud-native digital health platform serving 16 million users and delivering AI-driven personalized features like provider search, 24/7 telehealth, benefits and claims management, and social determinants of health check-ins. Architected and deployed microservices-based APIs integrating with FHIR/HL7-compliant EHR systems, reducing query latency by 30% through Redis caching. Engineered WebRTC-based telehealth capabilities facilitating 1.5 million virtual visits with HIPAA-compliant encryption and third-party integrations, achieving 98% case resolution in pilot programs. Implemented generative AI-powered Personalized Match algorithm and My Health Check-in NLP-driven questionnaires improving care access and resource matching. Constructed ETL pipelines processing 40 million monthly claims and SDOH data for real-time analytics. Streamlined CI/CD pipelines ensuring 99.99% uptime, cut deployment times by 40% through blue-green deployments. Integrated IoT w
Site Reliability Engineer at Datadog
May 1, 2020 - August 4, 2025
Designed high-throughput data pipelines using Spark and Kafka to process trillions of daily metrics and logs for Datadog's observability platform, maintaining 99.99% uptime for over 28,000 customers across multi-cloud environments including AWS, Azure, and GCP. Optimized Spark jobs and Kafka configurations to reduce processing latency by 30% and increase throughput for high-volume telemetry data. Automated pipeline monitoring and alerting with Datadog tools, decreasing mean time to recovery (MTTR) by 35% for pipeline incidents. Collaborated with data engineering teams to create cost-efficient workflows leveraging Kubernetes and Terraform, reducing infrastructure costs by 20%. Enhanced pipeline reliability by introducing retry mechanisms and dead-letter queues, ensuring 100% data delivery for critical customer metrics and analytics. Led blameless postmortems to identify root causes and deploy preventative measures reducing pipeline failures by 40%. Mentored junior engineers in debugging
Full Stack Engineer at Itexus
August 1, 2016 - August 4, 2025
Built secure API endpoints using C# and .NET, reducing unauthorized access incidents by 40% for fintech platforms. Created real-time financial dashboards using Angular and D3.js, improving user data interaction speed by 30%. Configured Azure-based cloud security policies ensuring PCI DSS compliance for payment processing systems. Performed penetration testing and vulnerability assessments, resolving 95% of identified client application risks. Refined SIEM integration with Azure, shortening threat detection time by 25% through automated monitoring.

Education

Bachelor’s Degree in Computer Science at University of Texas at Austin
August 1, 2009 - May 1, 2013

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services, Software & Internet