Summary
Keurcien Luu is a Lead Data engineer in Paris with a decade of experience building production ML systems and analytics pipelines, combining a PhD-level background in mathematics and population genetics with hands-on expertise in deep learning for recommender systems. He leverages transfer learning, CNN-based image embeddings, matrix factorization and ELT/OLAP tooling (Airbyte/DBT, Hive/Presto/BigQuery) to deliver scalable m-commerce recommendations and BI solutions. His research roots—large-scale statistical methods for biological adaptation and image/shape analysis—inform a rigorous, data-driven approach to feature engineering and model validation. Active in the data education community as a Le Wagon certification juror, he blends academic rigor with pragmatic product delivery. Notably, his career bridges academic research (CNRS, GE Healthcare, CUHK) and applied industrial ML, giving him a rare fluency across theory, algorithms and production data stacks.
10 years of coding experience
3 years of employment as a software developer
Mathematics, Physics, Mathematics, Physics at Lycée Saint Louis
Master's degree, Mathematics, Master's degree, Mathematics at École Normale Supérieure de Cachan
French, Chinese, English, Italian