Available to hire
Hi, I’m Houston Hoffman. I’m a Senior Software Engineer with 10+ years of experience designing and building scalable distributed systems using Java, React, and cloud-native architectures. I enjoy turning complex problems into reliable, high-performance solutions that scale to millions of users.
I’ve led cross-functional teams to deliver front-end dashboards, back-end services, and AI-powered workflows using OpenAI, LangChain, GitHub Copilot, and Claude. I thrive in regulated or mission-critical environments and love collaborating with teams to push the boundaries of what’s possible.
Skills
Language
English
Fluent
Work Experience
Senior Software Engineer at NVIDIA
October 1, 2017 - PresentLed the design and rollout of NVIDIA’s next-generation Remote Patient Monitoring (RPM) platform, enabling continuous biometric ingestion and AI-supported clinical triage for over 2M members across chronic and preventive care programs. Led system design and technical architecture for large-scale Java-based and microservice platforms, defining service boundaries, data models, scalability strategies, and fault-tolerance patterns for a platform serving millions of users. Built clinician-facing dashboards and triage experiences using React, Next.js, TypeScript, Angular, and D3, significantly improving alert clarity, data exploration, and workflow efficiency for distributed care teams. Developed and optimized a high-throughput, event-driven backend primarily in Java (Spring Boot) with Go and Node.js, leveraging gRPC, GraphQL Federation, and CQRS to process 3M+ clinical events/day with sub-150ms p95 latency. Implemented an AI-driven triage system in Python/FastAPI, Django/Flask leveraging L
Software Engineer at Qualcomm
September 1, 2013 - October 1, 2017Played a key role in Qualcomm’s transition from legacy platforms to cloud-native, microservice-based architectures, modernizing telehealth, Remote Patient Monitoring, and population health analytics systems. Built a clinical data ingestion pipeline using Kafka Connect on MSK, streaming into Redis and BigQuery with strict FHIR/HL7 validation and 99.9% delivery guarantees. Increased system resiliency by redesigning retry, backoff, and failure-handling strategies across Kafka consumers and SQS-based workers, removing downstream contention and cutting burst-related processing delays by ~60%. Reworked clinician-facing dashboards with React/JavaScript and TanStack Query; deployed legacy C# to ASP.NET on ECS Fargate to enable elastic nationwide scaling. Implemented an AWS SQS/Lambda-based real-time alert distribution pipeline with embedded ML filtering; introduced a REST adapter layer to support analytics and enabled 50+ concurrent clinician dashboards with no performance degradation.
Intern at Panasonic / Panasonic (San Luis Obispo)
September 1, 2011 - October 1, 2012Built core learning flows and interactive lesson interfaces using PHP, CI, and JavaScript, improving UI responsiveness and reducing render overhead during peak usage. Enhanced cross-platform UI components and patterns shared across Web, C, and C++, enabling faster rollout of new learning modules. Implemented real-time lesson and chat UI using WebSockets and optimized state management, handling millions of daily events with no client performance degradation. Automated end-to-end localization for web/mobile UI using CrowdIn API and GitHub Actions, enabling rapid deployment of 40+ languages.
Education
Bachelor of Science in Computer Engineering at California Polytechnic State University-San Luis Obispo
January 1, 2007 - January 1, 2013Qualifications
Industry Experience
Healthcare, Software & Internet
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