Gaetan Gouzi is a Cloud Field Engineer with 11 years of hands-on backend and infrastructure experience, currently deploying Canonical’s open-source cloud stacks (Kubernetes, OpenStack, Ceph) for on-prem customers. He blends systems-level troubleshooting and performance tuning with API and microservice architecture, having built production monitoring solutions and handled high‑traffic live video platforms. Previously he designed SSAI video architectures and managed mission-critical deployments for Canal+, demonstrating expertise in streaming, HLS/DASH manifest debugging, and Kafka/MLOps. A pragmatic engineer, he ships automation and observability (Prometheus/Grafana) and writes tooling in Python, Go, and FastAPI to solve operational pain points. Outside work he explores image privacy, web scraping, cryptography and machine learning—bringing mathematical curiosity to practical product problems. Based in Paris, he pairs autonomy and listening skills with a track record of turning complex infrastructure requirements into reliable, production-ready systems.
11 years of coding experience
7 years of employment as a software developer
Baccalauréat, Baccalauréat at Lycée Notre Dame (Pamiers-09)
Master's degree, Computer Science, Master's degree, Computer Science at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Computer Science, Computer Science at University of Helsinki
A small Python library to generate random credible words based on a list of words by estimating the probability of the next character from the frequency of the previous ones
Contributions:2 PRs, 26 pushes, 3 branches in 2 years 6 months
Contributions:8 pushes, 1 branch in 8 years 2 months
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