Graham Thomas is a Senior Software Engineer in San Diego with 10 years of experience building cloud-native, data-driven systems across Microsoft and Intuit. He specializes in C#, Python, React, and both AWS and Azure, and has a track record of turning prototypes into production—founding Azure Health Deidentification and taking it to GA while cutting CosmosDB costs 60% and quadrupling throughput. Graham blends ML and engineering pragmatism, rebuilding MLOps platforms and creating PHI surrogation NLP engines that anonymize sensitive data with synthetic replacements. He’s equally comfortable optimizing distributed microservices, designing gRPC APIs, and shipping front-end experiences informed by user research and A/B testing. Colleagues rely on him for telemetry-driven performance improvements and practical security-minded implementations that scale.
10 years of coding experience
9 years of employment as a software developer
BS in Computer Science Computer Science, BS in Computer Science Computer Science at California State University San Marcos
Contributions:18 pushes, 1 branch in 5 years 1 month
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