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I'm a software engineer with 7+ years of experience focused on backend, AI, and cloud platforms, with roles at Google, Amazon, and TuSimple. I design HIPAA-compliant data platforms and build LLM orchestration over clinical data to support clinicians and researchers. I thrive on turning complex requirements into secure, scalable systems and collaborating across teams to ship reliable health-tech solutions. I excel at Python, Go, Java, and C++, and I work across the stack—from Vertex AI and MEDITECH Expanse integrations to real-time analytics and data governance. My experience spans EHR integrations, DICOMweb, and high-availability cloud architectures on GCP and AWS, always aiming for observable, secure, and user-friendly outcomes for health systems and caregivers.…I'm a software engineer with 7+ years of experience focused on backend, AI, and cloud platforms, with roles at Google, Amazon, and TuSimple. I design HIPAA-compliant data platforms and build LLM orchestration over clinical data to support clinicians and researchers. I thrive on turning complex requirements into secure, scalable systems and collaborating across teams to ship reliable health-tech solutions. I excel at Python, Go, Java, and C++, and I work across the stack—from Vertex AI and MEDITECH Expanse integrations to real-time analytics and data governance. My experience spans EHR integrations, DICOMweb, and high-availability cloud architectures on GCP and AWS, always aiming for observable, secure, and user-friendly outcomes for health systems and caregivers.

Ying Guo

Back-End Developer, Full Stack Developer, Web Developer, +3

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I'm a software engineer with 7+ years of experience focused on backend, AI, and cloud platforms, with roles at Google, Amazon, and TuSimple. I design HIPAA-compliant data platforms and build LLM orchestration over clinical data to support clinicians and researchers. I thrive on turning complex requirements into secure, scalable systems and collaborating across teams to ship reliable health-tech solutions. I excel at Python, Go, Java, and C++, and I work across the stack—from Vertex AI and MEDITECH Expanse integrations to real-time analytics and data governance. My experience spans EHR integrations, DICOMweb, and high-availability cloud architectures on GCP and AWS, always aiming for observable, secure, and user-friendly outcomes for health systems and caregivers.…I'm a software engineer with 7+ years of experience focused on backend, AI, and cloud platforms, with roles at Google, Amazon, and TuSimple. I design HIPAA-compliant data platforms and build LLM orchestration over clinical data to support clinicians and researchers. I thrive on turning complex requirements into secure, scalable systems and collaborating across teams to ship reliable health-tech solutions. I excel at Python, Go, Java, and C++, and I work across the stack—from Vertex AI and MEDITECH Expanse integrations to real-time analytics and data governance. My experience spans EHR integrations, DICOMweb, and high-availability cloud architectures on GCP and AWS, always aiming for observable, secure, and user-friendly outcomes for health systems and caregivers.

Available to hire

I’m a software engineer with 7+ years of experience focused on backend, AI, and cloud platforms, with roles at Google, Amazon, and TuSimple. I design HIPAA-compliant data platforms and build LLM orchestration over clinical data to support clinicians and researchers. I thrive on turning complex requirements into secure, scalable systems and collaborating across teams to ship reliable health-tech solutions.

I excel at Python, Go, Java, and C++, and I work across the stack—from Vertex AI and MEDITECH Expanse integrations to real-time analytics and data governance. My experience spans EHR integrations, DICOMweb, and high-availability cloud architectures on GCP and AWS, always aiming for observable, secure, and user-friendly outcomes for health systems and caregivers.

Skills

Experience Level

Expert

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Language

English

Fluent

Chinese

Advanced

Work Experience

Senior Software Engineer at Google

November 1, 2020 - Present

Led backend and AI initiatives in Google's Dispersed Health Ecosystem, delivering HIPAA-grade data platforms and LLM orchestration over clinical data for provider and payer solutions. Implemented clinical search and summarization on Vertex AI with MedLM embedded in MEDITECH Expanse, saving clinicians 5–10 minutes per patient by surfacing evidence from source notes and labs. Built HIPAA-eligible data services via the Cloud Healthcare API (FHIR/HL7/DICOMweb), with CMEK encryption, VPC Service Controls, audit logging, and dataset-level de-identification with exports and BigQuery analytics. Designed production-grade LLM orchestration pipelines with schema-guided prompts, taxonomy, and metadata guards to improve precision and curb unsupported outputs. Implemented payer workflows using Document AI and Vertex AI to classify packets and extract codes, dates, and medical necessity, including imaging embeddings to enrich triage. Enforced security by design with least-privilege IAM, per-tenant

Senior Software Engineer at Amazon

May 1, 2020 - November 1, 2020

Backend Software Engineer for Alexa Care Hub, Amazon's caregiver-focused service. Built backend APIs and microservices powering caregiver dashboards, real-time alerts, and consent-managed data sharing. Implemented real-time event ingestion pipelines processing device telemetry with sub-second latency and integrated with Alexa NLP models to support emergency voice commands. Developed ML-based anomaly detection to identify unusual inactivity and alert caregivers. Ensured data security with RBAC, encryption, and consent management; built scalable AWS infrastructure supporting millions of caregiver–recipient pairs; implemented observability with metrics, logging, and automated alerting for reliability.

Software Engineer at TuSimple

May 1, 2018 - May 1, 2020

Led the redesign of TuSimple's Simulation Platform scenarios and tooling to accelerate autonomous driving validation. Implemented the Scenario Editor versions 2 and 3 for graphically creating complex driving scenarios and collaboration. Built a Batch Simulation Tool to run hundreds of scenarios in parallel in containerized environments, speeding up validation workflows. Created a centralized MongoDB-backed service to store scenario definitions and results with real-time autosave and cross-team collaboration. Integrated simulation tools with mapping, perception, and planning, enabling end-to-end validation with HD maps and real sensor data replay. Refactored core simulation code to improve performance, reliability, and maintainability.

Backend Software Engineer at Amazon

May 1, 2020 - November 1, 2020

Backend APIs and microservices powering Alexa Care Hub. Built real-time event ingestion pipelines for caregiver dashboards and alerts with sub-second latency; integrated with Alexa NLP models to support emergency voice commands. Developed ML-based anomaly detection and enforced RBAC, encryption, and consent management. Scaled cloud infrastructure on AWS for millions of caregiver–recipient pairs and implemented comprehensive monitoring and alerting for reliability.