Cecile Guyon is a software engineer based in Paris with 10 years of experience building data-driven systems, from recommendation engines to production ML pipelines. She has strong Python and data tooling expertise (pandas, NumPy, scikit-learn, TensorFlow, Jupyter) and practical production experience with Elasticsearch, Kafka, Docker, Luigi, and the Hadoop/Spark ecosystem. At Marks she designed a pragmatic Elasticsearch-based recommendation system that traded algorithmic complexity for operational speed and tunability, and she later progressed through data scientist and engineering roles to engineering manager at Datadog. Now at Tsuga, she combines hands-on model and pipeline development with an appreciation for observability and scalable data workflows. Known for translating data problems into efficient engineering solutions, she also brings cross-domain consulting experience and an uncommon background that includes a year living in Japan, which shaped her approach to learning and collaboration.
10 years of coding experience
9 years of employment as a software developer
BSc, MSc, Applied Mathematics and Computer Science, BSc, MSc, Applied Mathematics and Computer Science at Université Paris Dauphine
MSc, Applied Physics, Networking and Telecommunications, MSc, Applied Physics, Networking and Telecommunications at Université Paris-Sud
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.