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I'm William Nguyen, a Senior Software Engineer with 10+ years of experience delivering full-stack, AI, and cloud-native solutions across healthcare, SaaS, and enterprise platforms. I specialize in microservices architecture, event-driven systems, and DevOps automation across AWS, GCP, and Kubernetes, with a passion for OpenAI-powered RAG pipelines, real-time interoperability, and collaborating with cross-functional teams to accelerate delivery and uptime.…I'm William Nguyen, a Senior Software Engineer with 10+ years of experience delivering full-stack, AI, and cloud-native solutions across healthcare, SaaS, and enterprise platforms. I specialize in microservices architecture, event-driven systems, and DevOps automation across AWS, GCP, and Kubernetes, with a passion for OpenAI-powered RAG pipelines, real-time interoperability, and collaborating with cross-functional teams to accelerate delivery and uptime.

William Nguyen

Full Stack Developer, Back-End Developer, Front-End Developer, +2

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I'm William Nguyen, a Senior Software Engineer with 10+ years of experience delivering full-stack, AI, and cloud-native solutions across healthcare, SaaS, and enterprise platforms. I specialize in microservices architecture, event-driven systems, and DevOps automation across AWS, GCP, and Kubernetes, with a passion for OpenAI-powered RAG pipelines, real-time interoperability, and collaborating with cross-functional teams to accelerate delivery and uptime.…I'm William Nguyen, a Senior Software Engineer with 10+ years of experience delivering full-stack, AI, and cloud-native solutions across healthcare, SaaS, and enterprise platforms. I specialize in microservices architecture, event-driven systems, and DevOps automation across AWS, GCP, and Kubernetes, with a passion for OpenAI-powered RAG pipelines, real-time interoperability, and collaborating with cross-functional teams to accelerate delivery and uptime.

Available to hire

I’m William Nguyen, a Senior Software Engineer with 10+ years of experience delivering full-stack, AI, and cloud-native solutions across healthcare, SaaS, and enterprise platforms.

I specialize in microservices architecture, event-driven systems, and DevOps automation across AWS, GCP, and Kubernetes, with a passion for OpenAI-powered RAG pipelines, real-time interoperability, and collaborating with cross-functional teams to accelerate delivery and uptime.

Skills

Experience Level

Expert

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Expert

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Expert

Expert

Expert

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Expert

Work Experience

Senior Software Engineer (SED III) at Salesforce

January 1, 2020 - November 3, 2025

Led backend, frontend, AI, and DevOps engineering for a multi-hospital Salesforce Health Cloud rollout, unifying patient intake, scheduling, and call-center operations across 10+ departments. Delivered a HIPAA-compliant, AI-assisted engagement system with real-time analytics and automation. Architected microservices using Spring Boot, FastAPI, and Node.js, integrating Salesforce Health Cloud with Epic and Cerner EHR systems. Implemented event-driven data pipelines with Kafka and Redis Streams, enabling real-time patient updates, lab results, and scheduling data. Built secure RESTful and gRPC APIs with OAuth 2 and JWT to enable seamless communication between Salesforce, billing, and IVR systems. Implemented OpenAI GPT-based RAG pipelines and embeddings with Pinecone/OpenAI for contextual responses and automated case summaries. Built real-time dashboards with React/TypeScript and GraphQL APIs to support care coordination. Deployed 30+ containerized services to AWS ECS/Kubernetes with CI/

Senior Full Stack Engineer at TechWorks Inc

December 1, 2019 - December 1, 2019

Contributed to the design and development of an AI-powered enterprise customer engagement platform, delivering real-time insights, multi-channel messaging, and predictive analytics for enterprise clients. Architected microservices with Spring Boot, Node.js, and Go, connected via Kafka and GraphQL for event-driven, high-throughput data processing. Designed RESTful and GraphQL APIs for analytics, segmentation, and campaign automation, integrating seamlessly with enterprise CRMs. Built real-time dashboards in React + Redux + TypeScript for customer activity, sentiment, and engagement tracking. Integrated AI/ML pipelines using OpenAI embeddings, TensorFlow, and Vector AI for personalized recommendations and churn prediction. Implemented data ingestion and caching layers with Redis and PostgreSQL, handling millions of events with sub-second latency. Deployed containerized services on AWS ECS/Kubernetes with CI/CD using Terraform and GitHub Actions. Enhanced campaign accuracy through real-ti