Romain Clement
Romain Clement is a software engineer with over a decade of experience spanning data engineering, applied mathematics, and machine learning. Since 2018, he’s worked as an independent consultant, helping data teams streamline and productionize their workflows—bringing software engineering best practices into data science, MLOps, and beyond.
He’s an active open-source contributor, with personal projects and community involvement in ecosystems like Datasette. A regular speaker since 2019 and organizer of the Grenoble Python Meetup, he enjoys sharing pragmatic tools and techniques that make data work actually work.
Find out more on romain-clement.net
Sessions
Have you ever spun up a Spark cluster just to update three rows in a Delta table? In this talk, we’ll explore how modern Python libraries can power lightweight, production-grade Data Lakehouse workflows—helping you avoid over-engineering your data stack.
Deploying ML models doesn’t have to mean spinning up servers and writing backend code. This talk shows how to run machine learning inference directly in the browser—using ONNX and WebAssembly—to go from prototype to interactive demo in minutes, not weeks.