Summary
Javier Oviedo is an associate professor and computer scientist with 12 years of experience specializing in databases, distributed systems, and Big Data engineering for cloud and NoSQL environments. He has led technical workpackages and served as data architect on multiple European and national research projects spanning IoT, smart cities, digital humanities and healthcare (FHIR), translating research into practical data lakes, observability stacks and web-archive analytics. His background combines academic rigor (PhD, supervising students and postdocs) with hands-on systems delivery—Docker, Prometheus, Elastic Stack, Spark and WARC-based pipelines—often bridging HPC/industry transfer. Based in Lyon and active in the UMI CNRS LAFMIA, he brings a rare mix of urban computing visualization experience and production-grade data engineering that enables cross-disciplinary teams to extract value from high-velocity, heterogeneous datasets.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Grenoble Alpes
Master's degree, Computer Science, Master's degree, Computer Science at Fundación Universidad de las Américas, Puebla, A.C.
Spanish, French, English