Summary
Luke Lavin is a Senior Software Engineer specializing in data systems with nine years of experience building low-latency, cloud-native services and ML-powered pipelines. Based in Chicago and educated at Purdue, he has driven production ML inference and audience-sizing systems at scale using Azure, Snowflake, PySpark, Java Spring Boot and Python frameworks. He’s a pragmatic technical lead who reduced latency by 540x for a core audience service, cut on-call incidents in half by standardizing event-driven pipelines, and helped convert research models into reliable MLOps deployments. Comfortable across backend, data engineering and NLP work, Luke also has a track record of mentoring juniors and shipping services that underpin eight- and nine-figure ad revenue streams. Notably, he blends hands-on coding with system design—owning TB-scale data assets while iterating quickly on inference and automation patterns.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Purdue University