About

PhD with a background in engineering, with 5+ years of experience in Linux networking, cloud-native infrastructure, and eBPF.

Current Position

Looking for work :)
I would like to work on anything performance / networking / Linux / Kubernetes related, I don't have a particular subject in mind.
My thesis focuses on optimizing the datapath from the kernel to the application using eBPF, with emphasis on low-latency Linux networking acceleration.

Education

• PhD in Computer Science - University of Côte d'Azur, I3S Lab (2021-2025)
• Master's in Advanced Communication Systems - ENSEEIHT / ISAE / ENAC / INSA (2020-2021)
• Engineering Degree in Computer Science & Networking - ENSEEIHT (2018-2021)
• DUT in Networks & Telecommunications - IUT de Nice Sophia-Antipolis (Université de la Côte d'Azur) (2016-2018)

Work Experience

Teaching Assistant

University of Côte d'Azur (2021-2025)

• Teaching 60+ hours/year in networking and systems courses (BGP, MPLS, fundamentals)
• Grading projects, leading practical labs, mentoring students

Apprentice Engineer

Orange Innovation Networks - Remote (2021)

• Researched Edge Computing architectures (Linux Foundation, Akraino)
• Prototyped Kubernetes-based edge deployments with BigBlueButton

Orange DSI - Toulouse (2018-2020)

• Built internal Go tools (HTTP proxy, API monitoring, log parsing)
• Developed server monitoring via Ansible and containerized deployments

Intern

École des Mines de Paris - Sophia-Antipolis (2018)

• Docker-based automation for scientific workloads
• Developed Django frontend, Swarm cluster, Ansible roles

Technical Skills

• Systems: Linux, Distributed Systems, eBPF, XDP, AF_XDP, Docker, Kubernetes, Virtualization
• Software: Go, Rust, Python, shell, web (frontend/backend)
• Networking: Linux networking, cloud networking, network virtualization, IoT
• Observability: Prometheus, Grafana, Datadog, OpenTelemetry, Vector, bpftrace