Todd Schilling is a Distinguished Engineer with 25 years of experience specializing in cloud-native systems, distributed computing, and applied machine learning. He has led platform and architecture efforts at Seismic and Deluxe, building hybrid-cloud platforms, training hundreds of engineers in container-native design, and establishing 24/7 production support and service development practices. Known for pragmatic problem-solving, Todd combines hands-on implementation (Go, Docker, Nomad, Terraform, Kafka) with a strong appetite for emerging AI architectures—particularly compound AI systems and model fine-tuning. His background spans refactoring high-throughput live systems to architecting scalable microservice platforms, and he mentors teams to maintain conceptual integrity while shipping fast. Based in Missouri, he is augmenting his practical expertise with a Stanford professional certificate in AI, signaling a deliberate move to bridge modern ML approaches with robust production infrastructure. An uncommon strength is his ability to translate cutting-edge AI ideas into operational platform features that teams can adopt and run reliably.
9 years of coding experience
14 years of employment as a software developer
BA, Computer Science, BA, Computer Science at Knox College
Professional Certificate (In Progress), Artificial Intelligence, Professional Certificate (In Progress), Artificial Intelligence at Stanford University
Contributions:2 PRs, 86 pushes, 11 branches in 3 months
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Todd Schilling - Distinguished Engineer at Seismic