Freelancer profile translated to English.
Back to original languageAbout Mathieu
I am an MLOps and Data Science engineer with a strong background in creating machine and deep learning models for computer vision applications. I have good experience in setting up MLOps infrastructures and pipelines to facilitate the deployment of models in production.
Also skilled in using cloud computing technologies for model deployment and data processing, I am passionate about the latest trends in Data Science and MLOps. I am always looking for new opportunities to improve my skills and knowledge.
If you are looking for an MLOps and Data Science engineer for your next project, do not hesitate to contact me. I would be happy to discuss how I could contribute to your company.
French
Native or bilingual
English
Fluent
Spanish
Conversational
Japanese
Basic
Can work on-site
Paris (up to 50km)
Experience
- MobilizeLead Dev/Data EngineerBANKING AND INSURANCEJuly 2024 - Today (2 years and 1 month)Fontenay-sous-Bois, FranceLead Dev (main project)
- Technical direction and management of the development team
- Digitalization of local business processes to GCP: design of data pipelines and cloud architecture.
- Development of a user tool making data accessible to business teams (Front in React and Back in Python).
- Implementation and reliability of monthly production runs (Airflow orchestration, data storage in Big Query)
Data Engineer- Migration and digitalization of internal processes to GCP
- Construction of data pipelines (Python, Airflow, SQL) feeding business KPI dashboards
- Creation of visualizations for steering business indicators
- Groupe Vivendi AfricaSenior Data ConsultantPRESS AND MEDIAJanuary 2024 - June 2024 (5 months)Paris, France- Creation of AWS CI/CD GitLab pipeline (ECS, Lambda, Airflow, S3, DBT)- Development of "serverless functions" on AWS (Lambda) in Python- Implementation of a data catalog- Implementation of Airflow DAGs for data processing and ingestion- Security and implementation of "best practices" on Snowflake (data ingestion, roles, data segmentation)- Testing and integration of DBT flows
- IROCBack-end & MLOps EngineerRESEARCHJune 2023 - December 2023 (6 months)Paris, FranceDevelopment of a scientific publication recommendation platform — Python · NLP · Celery · AWS
- Development of a scientific article recommendation system based on two scoring algorithms: relevance (same topic/domain) and disruptiveness (same topic, cross-domains)
- Implementation of an automatic summarization module (NLP) aggregating publication abstracts based on user searches, with regular model retraining
- Implementation of an automated literature review pipeline: weekly retrieval and processing of 150-200 publications
- Design of a task orchestrator (Celery) automating ~1,000 monthly scoring requests, distributed in weekly and daily batches, with fallback strategies (term permutation, query decomposition) to maximize coverage
- Development of application features: result personalization (like system, note-taking), integrated PDF reader, database saving, automated emailing
- Creation and management of APIs exposing ML models to the front-end, continuous deployment on AWS (Amplify) and functional validation
- Analytical support: analysis of scientific data and figures, creation of presentation posters, writing project proposals for grants
Reviews
Recommendations
NM
JL
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Education
- Generalist Digital Engineering DiplomaEFREI Paris2022Diplome d'ingénieur généraliste du Numérique, Business Intelligence