À propos de Tugdual
I have been working on software and data architecture issues for more than 10 years, mainly for startups in many fields (medical, social network analysis, IOT, energy). During my PhD, I conducted research in machine learning and Big Data.
My expertise is in the design and development of the entire data chain; from backend APIs to data transport and storage and its use in data visualization and machine learning.
I recently specialized in data and AI driven urban design.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Nantes (jusqu’à 50 km), Paris (jusqu’à 10 km)
Expériences
- AirbusAirbus logo Freelance - Data engineerAÉRONAUTIQUE & AÉROSPATIALEnovembre 2022 - juillet 2024 (1 an et 8 mois)Toulouse, FranceI was responsible for designing, developing, and maintaining robust data pipelines that processed and transformed raw data into actionable insights. My work involved optimizing data flow, ensuring data integrity, and collaborating with data scientists and analysts to implement scalable data solutions.Data architect: conception and deployment of serverless data pipelines (AWS).Development of a machine learning platform.DevOps: deployment of Infrastructure as code with AWS CDK.
- UXCityCo-founder - Data Science and Software DevelopmentARCHITECTURE & URBANISMEseptembre 2021 - août 2022 (11 mois)Barcelona, SpainUXCity - Spatial data science Cities are multilayered structures where ecology, technology, and humans develop a particular protocol to interact amongst themselves. The city itself is already a technology, one of the oldest and most resilient ones which has become a complex platform for its users. Our mission is to enhance and improve user's experiences in the city by uncovering and understanding the different layers stacking over the built environment and its inhabitants.
- HephIAFreelance Software EngineerHIGH TECHoctobre 2021 - mars 2022 (5 mois)Paris, FranceHephIA offers an innovative solution making massive data readable and usable by businesses with minimal effort.I was in charge of the specification, technical validation and development of their product. The main challenge was to package their Big Data machine learning algorithms in order to deploy them on a cloud/Kubernetes environment.- CI/CD specification and development (Bazel / GCP / Docker)- Conception and development of data pipeline tool (Kubernetes / Argo)- Machine learning algorithm packaging (Spark)
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Formations
- Master in City & TechnologyInstitute for Advanced Architecture of Catalonia2021IAAC’s Master in City & Technology is a unique program oriented towards redefining the analysis, planning, and design of twenty-first-century cities and beyond. The program offers expertise in the design of digitally enhanced, ecological and human-centered urban environments by intersecting the disciplines of urbanism and data science. Taking place in Barcelona, the capital of urbanism, the Master in City & Technology is training the professionals that city administrations, governments, industries, and communities need, to transform the urban environment in the era of big data.
- PhD in Computer ScienceComputer Science Department (LIPN) of the University of Paris 132018PhD student in machine learning and Big Data. The subject of my PhD is “Clustering and BiClustering in a BigData context”, the main goal of this PhD is to find some machine learning algorithms and more precisely unsupervised algorithms applied to BigData technologies.