Available to hire
Hi, I’m May Zhang, a Software Engineer with experience building scalable systems and data-driven tools. I specialize in backend development and have a strong background in cloud deployment and data processing. I’m passionate about leveraging technology to improve healthcare solutions and streamline workflows.
I have worked on projects ranging from HIPAA-compliant systems to user recommendation engines, automating workflows and enhancing system reliability through cloud services and container orchestration. I enjoy crafting modular APIs and integrating AI-driven features to deliver real-time, secure, and efficient software products.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Aragonese
Intermediate
Javanese
Intermediate
Work Experience
Software Engineer at RWJBarnabas Health
December 31, 2024 - July 31, 2025Designed a HIPAA-compliant backend on GCP with PostgreSQL and access control, supporting secure storage of 10k+ patient records. Built anomaly detection services in Python to surface critical health patterns, enabling early physician intervention. Reduced production error rates by 45% by integrating Resilience4j. Orchestrated Docker-based recovery pipelines to improve uptime during outages. Automated EHR onboarding workflows using Node.js and GraphQL, cutting manual effort by 60%. Designed modular patient charting APIs with Express and GraphQL for real-time editing and role-based access.
Software Engineer at RWJ Barnabas Health
December 1, 2024 - August 22, 2025Designed a HIPAA-compliant backend on GCP using PostgreSQL and access control to securely store over 10,000 patient records. Built anomaly detection services in Python to identify critical health patterns from longitudinal data, enabling early physician intervention. Reduced production error rates by 45% by integrating Resilience4j for circuit breaking, retries, and graceful fallbacks in core services. Orchestrated Docker-based recovery pipelines to auto-requeue cached patient data, improving system recovery and uptime during outages. Automated EHR onboarding workflows by digitizing intake forms and legacy files using Node.js and GraphQL, reducing manual effort by 60%. Designed modular patient charting APIs with Express and GraphQL, enabling real-time editing and role-based access in multi-clinic deployments.
Education
Bachelor of Science at California State University, Stanislaus
August 1, 2022 - December 31, 2023Bachelor of Science at California State University, Stanislaus
August 1, 2022 - December 1, 2023Qualifications
Industry Experience
Healthcare, Software & Internet, Life Sciences
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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