Keurcien Luu
Lead Data
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolKeurcien 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 LouisMaster's degree, Mathematics, Master's degree, Mathematics at École Normale Supérieure de Cachan
French, Chinese, English, Italian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (110)
postgresql10
operation10
python10
airbyte10
data-warehouse10
databases10
data-ingestion10
etl10
duckdb10
deep-learning10
data-pipeline10
adaptation10
lakes10
data-engineering10
elt10
Programming languages (11)
Github contributions (5)
bcm-uga/pcadapt
Sep 2016 - Dec 2018
Performing highly efficient genome scans for local adaptation with R package pcadapt v4
Contributions:243 commits, 6 PRs, 179 pushes in 2 years 2 months
r-packagegenomegenomicsbioinformaticsscans
bcm-uga/SSMPG2017
Sep 2017 - Sep 2017
Contributions:49 commits, 1 PR, 22 pushes in 8 days
geneticsstatisticalpopulation-geneticsdata-challengestatistical-methods
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