Pierre M
Machine Learning Engineer at Data Revenue GmbH
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolPierre M is a Machine Learning Engineer with nine years of experience applying data science to healthcare, bioinformatics, and DeFi-focused tooling, currently building ML systems at Data Revenue GmbH. He combines deep domain experience in genomics and CRISPR efficiency modeling (Harvard Medical School) with production ML and MLOps skills—Docker, Kubernetes, Terraform, Seldon, MLflow—and solid software engineering in Python and Solidity. Pierre has delivered ML-driven clinical projects for Bristol Myers Squibb that were presented at major conferences and has experience turning research models into usable tools and command-line predictors. Comfortable handling very large biological datasets and cloud storage systems, he bridges academic rigor and engineering pragmatism to deploy reliable, scalable pipelines. Colleagues benefit from his background teaching Python and translating complex scientific problems into production-ready solutions.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Molecular Genetics, Bachelor's degree, Molecular Genetics at Université de Versailles Saint-Quentin-en-YvelinesMaster's degree, Bioinformatics, 3.5 GPA, Master's degree, Bioinformatics, 3.5 GPA at Paris-Sud University (Paris XI)
French, English, Spanish
Github Skills (13)
uniswap6
ethereum6
variable-selection5
python2
data-structure1
kubernetes1
devops1
mlops1
aws1
cml1
cicd1
architecture1
aws-cloud1
Programming languages (5)
Github contributions (5)
PierreMkt/Dmel-sgRNA-Efficiency-Prediction
Jun 2018 - Oct 2018
Contributions:80 commits, 59 pushes, 1 branch in 3 months
PierreMkt/Projet-Web
Sep 2017 - Aug 2018
Contributions:15 pushes, 1 branch in 10 months
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.