Summary
Etienne Jodry is a versatile software engineer with nine years' experience building full-stack systems, data platforms, and high-performance computing tools across research and industry. Based in Grenoble, he has delivered production-ready data management and visualization solutions for single-cell genomics at CNAG and engineered data workflows for climate and energy projects at BSC and Schneider Electric. Comfortable from Python APIs and Postgres to Kubernetes, S3 and CI/CD, he combines hands-on development with data-engineering rigor and secure access patterns (Keycloak/OpenAPI). His background in machine learning and computer vision informs robust, reproducible pipelines, while his academic training across Grenoble, KTH and York underpins a strong mathematical approach to engineering. Notably, he has open-sourced components used to serve large genomic datasets on Kubernetes and built flexible metadata-driven REST frameworks that accelerate collaborative research deployments.
9 years of coding experience
2 years of employment as a software developer
Diplôme d'ingénieur, Mathématiques et informatique, Diplôme d'ingénieur, Mathématiques et informatique at National School of Computer Science and Applied Mathematics of Grenoble
Semestre d'échange, Intelligence artificielle, Traitement d'image, Semestre d'échange, Intelligence artificielle, Traitement d'image at KTH Royal Institute of Technology
Computer Science, Computer Science at York University
Licence, Informatique, Licence, Informatique at Université Savoie Mont Blanc