Summary
Matthieu Guillouet is a Lead Engineer based in Paris with 10 years of experience building industrial-scale data pipelines and applied machine learning systems. He blends deep signal-processing and computer-vision expertise with pragmatic data engineering, shipping efficient on-prem and cloud ETL stacks using PySpark, HDFS, PostgreSQL and Docker. As a former co-founder and lead scientist, he has delivered bespoke R&D solutions—from deep-learning image and source-separation prototypes to 3D point-cloud classification and medical NLP—while also training client teams. Earlier roles at LightOn and CGG reflect a strong foundation in optical hardware ML, high-performance C/CUDA development and inverse-problem research. Matthieu’s profile is notable for combining academic rigor (Telecom ParisTech, Centrale Lyon) with hands-on productionization of advanced ML algorithms like CNNs and implicit neural networks.
10 years of coding experience
7 years of employment as a software developer
Mathematics, Mathematics at Lycee Michel Montaigne
Master 2 (M2), Master 2 (M2) at Ecole Centrale Lyon
Master’s Degree, Big Data, Master’s Degree, Big Data at Telecom ParisTech