Kyle Tai is a Senior MLOps Engineer based in Miami Beach with a decade of hands-on experience evolving from system administration and network engineering into cloud-native DevOps and MLOps. He has designed and maintained large-scale, HIPAA-sensitive AWS infrastructures, containerized platforms, and CI/CD pipelines for multi-tenant environments serving hundreds of clients. At Rad AI he transitioned from senior DevOps to an MLOps-focused role, applying his deep operational knowledge to production ML workflows and infrastructure. Comfortable across Linux, Docker/ECS, Ansible, Jenkins and AWS services, he pairs pragmatic automation with security and compliance-minded logging and observability. Known for quietly solving messy legacy migrations and on-prem to cloud transitions, he brings both gritty systems troubleshooting and strategic infrastructure design to ML productionization.
10 years of coding experience
14 years of employment as a software developer
Information Technology Computer Science, Information Technology Computer Science at University of Central Florida
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