Zachary Bloss is a senior MLOps engineer with 10 years of experience turning ML research into reliable, cost-efficient production systems across startups and enterprise teams. He has led platform and team builds—from a cross-enterprise MLOps PaaS at Rocket Mortgage that cut incidents 80% and reduced ML spend, to creating CensysGPT and an MCP server enabling AI agents to query network data. Comfortable across Kubernetes, vLLM, SageMaker and vector DBs, he focuses on minimizing latency and operational costs while scaling inference for high-throughput applications. Zachary balances hands-on engineering with people leadership and mentoring, and in his spare time experiments with agent-building projects on GitHub aimed at automating his own workflow.
9 years of coding experience
14 years of employment as a software developer
Master of Science - MS, Data Analytics, Master of Science - MS, Data Analytics at Penn State University
Bachelor’s Degree, Mathematics, Bachelor’s Degree, Mathematics at Eastern Michigan University
Contributions:24 commits, 19 pushes, 1 branch in 3 months
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