Freelancer profile translated to English.
Back to original languageAbout Mohamed Amine
Passionate about computer science and mathematics, extremely motivated by the new technological challenges generated by the emergence of big data/AI and Data science. Mastery of all components (python, pyspark, cloudera, haddop, shell,...) related to the realization of data science projects allows me to advance in this field and to flourish professionally.
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- BNPPDataOps/MLopsBANKING AND INSURANCEMarch 2024 - Today (2 years and 3 months)Paris, FranceProduct: A Kubernetes production platform dedicated to big data/data science processing.Role:
- Operational support for the Domino Datalab Data Science platform offering for BNP Paribas group Data Scientists.
- Development of governance tools for roles and access on Domino Datalab Data Science platforms.
- Maintenance, supervision, and reliability of over 20 Kubernetes platforms in production.
- Design of new features around the product (API, workflows, dashboards, alerts, etc.).
- Level 3 technical support for the user community.
- Development of automatic UAT tests for domino/kubernetes platforms.
- Contribution to the continuous improvement of services and practices with the Domino engineering team in the form of tickets (RFE and Bug).
Infra: 16 Kubernetes Clusters (IBM Cloud and Openshift)Technical Stack: Domino Datalab | Kubernetes | Machine Learning/LLM | HELM | Python | ArgoCD | Gitlab | Grafana | myaccess - amundiDataOps/MLopsBANKING AND INSURANCEJanuary 2021 - March 2024 (3 years and 2 months)Paris, FranceProduct: A Kubernetes production platform dedicated to big data/data science processing.Role:
- Installation and Deployment of an ML workflow pipeline: jupyterhub, trino, vscode, minio, dagster, and mlflow on kubernetes.
- Deployment of an Apache Spark cluster on Kubernetes for ETL pipelines.
- Deployment of a KAFKA cluster on Kubernetes.
- Production deployment and monitoring of internal machine learning models on the platform.
- Monitoring and security of components installed on Kubernetes via Prometheus/Grafana/keycloak.
- Spark/kubernetes/machine learning support for the project team.
Infra: Kubernetes Cluster (2T RAM, 380 CPU)Technical Stack: Machine Learning | HELM | K8S | PySpark | ArgoCD | Jenkis | Gitlab | docker | Trino | Kafka | Dagster | Superset - PSAData scientist/data engineerAUTOMOBILESeptember 2016 - January 2017 (5 months)Paris, FranceIdentify exogenous data relevant to Sales / Marketing KPIs for 10 PAS dealerships in the Ile-de-France region using regression algorithms.
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Education
- PhD in Mathematical ModelingRadboud University Nijmegen, Netherlands & University of Lorraine, France2015