Summary
Jules Ropars is a software engineer with six years of practical experience building production systems and AI-enabled tooling, currently contributing to ontology APIs and logistics data pipelines at Auger. They have a track record of accelerating data workflows—most notably speeding nightly clustering by ~500% for an accessibility navigation project—and have built searchable intranet databases and tuned custom GPT-3.5 models for documentation use. Comfortable across backend, data and ML-infused features, Jules has interned in enterprise architecture and designed systems that consolidate and re-index disparate data sources at scale. Based in Oakland and studying computer science at the University of Washington, they combine academic learning with hands-on delivery across startups, research labs, and corporate teams. An under-the-radar strength is shipping pragmatic automation that turns messy spreadsheets and documentation into continuously updated, queryable systems.
6 years of coding experience
Bachelor of Science - BS, Computer Science, Freshman, Bachelor of Science - BS, Computer Science, Freshman at University of Washington
High School Diploma, High School Diploma at Eastside Preparatory School
Google Machine Learning Crash Course
MIT BWSI
French, Spanish