Summary
Evan Sadler is a Senior Machine Learning Operations Engineer with 11 years of experience building production ML and data infrastructure across startups and large media companies in New York. He has moved seamlessly between founding-engineer roles and senior positions, shipping recommendation systems at Warner Bros. Discovery, serverless LLM-powered products, and high-throughput prediction pipelines with Kubeflow, BigQuery, and TensorFlow. Comfortable across the full stack, Evan blends data engineering (Beam, Dagster), ML (scikit-learn, JAX, numpyro), and backend systems (Kotlin, gRPC) to turn research models into reliable services. He favors pragmatic infrastructure as code and CI/CD approaches to scale, and brings a mathematician’s rigor from dual degrees in math and economics to causal modeling and risk stratification work.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics, Bachelor of Science (B.S.) Mathematics at University of Washington
Bellevue College
Clarinet Performance, Clarinet Performance at Florida State University