Freelancer profile translated to English.
Back to original languageAbout Mike
Hello,
I hold a PhD in Computer Science with over 6 years of experience as a data scientist and machine learning engineer.
I enjoy leading data science projects, from modeling to production deployment. I know how to adapt to the specific challenges of each business sector to determine the best way to tackle a problem.
I have worked on a number of projects and in various sectors where I was the technical lead.
Feel free to contact me :-)
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- CETIMData EngineerMECHANICAL ENGINEERINGNovember 2022 - February 2023 (3 months)Senlis, France- Migrated data from servers to a Data Lake.- Analyzed data from the data lake using Databricks
- Pernod RicardMachine Learning EngineerMarch 2023 - Today (3 years and 5 months)- Designed, deployed, and managed cloud infrastructures on Microsoft Azure, ensuring the scalability, security, and reliability of environments.- Implemented an Infrastructure as Code (IaC) approach with Terraform to automate the creation and management of cloud resources.- Performed code reviews on infrastructure and deployment projects to ensure quality, consistency, and adherence to DevOps best practices.- Migrated repositories from Azure DevOps to GitHub, including restructuring projects and adapting CI/CD workflows.- Set up and maintained CI/CD pipelines with GitHub Actions to automate testing, builds, and deployments.- Deployed machine learning models and APIs into production, ensuring the stability, performance, and monitoring of services.
- CybelAngelSenior Machine Learning EngineerMarch 2021 - November 2022 (1 year and 8 months)Paris, FranceDataScience– Processed and analyzed data using BigQuery, DBT, Airflow, and DataFlow tools– Trained and deployed ML models (XGBoost, Sklearn) to detect data leaks in GitHub repositories, databases, etc.– Industrialized machine learning models through gRPC and REST microservices– Designed and implemented an ML model monitoring system (Datastudio + Datadog)MLOps (Technical Lead)– Implemented continuous integration with Gitlab CI/CD– Implemented workflows that significantly reduce the training and deployment time of ML models (Using MLFlow + Kubeflow)– Provided training, shared best practices, and supported development efforts- Feature Store: implemented a POC using Feast
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Education
- Doctor of Philosophy - PhD, Computer ScienceUniversity of Montpellier2017Doctor of Philosophy - PhD, Informatique
- Master 2, Computer Science of Intelligent SystemsUniversité Paris Dauphine2014Master 2, Informatique des Systèmes Intelligents
Certifications
- Google Cloud Professional Machine Learning EngineerGoogle2026