Tugdual Sarazin is a Paris-based senior data engineer and PhD-trained machine learning researcher with 12+ years building end-to-end data architectures for startups and large enterprises across healthcare, IoT, energy and urban design. He designs and operates production data platforms—serverless and cloud-native—using Terraform/AWS CDK, BigQuery, Kubernetes and graph databases, and has led ML-driven forecasting pipelines for thousands of retail sites. Equally at home advising on AI/knowledge systems, he’s integrated LLMs and graph models to enable semantic search and retrieval for design teams. A former educator in computational design and geospatial analytics, he blends research-grade expertise in unsupervised learning with practical experience shipping reproducible CI/CD-driven systems. Tugdual’s uncommon mix of urban-data insight and deep data-engineering chops makes him a go-to freelancer for projects at the intersection of cities, ML and scalable infrastructure.
12 years of coding experience
10 years of employment as a software developer
Epitech
Master 2: Data exploration and Business Intelligence (EID²), Master 2: Data exploration and Business Intelligence (EID²) at Université Paris 13
PhD student in Computer Science, PhD student in Computer Science at Computer Science Department (LIPN) of the University of Paris 13
Technology University degree, Technology University degree at IUT de Nantes
Master's degree, Master's degree at Institute for Advanced Architecture of Catalonia
Contributions:2 PRs, 10 pushes, 3 branches in 3 months
json-schemasbuildsschemasjson-schemajson
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Tugdual Sarazin - Freelance - Senior Data Engineer