About Théo
As a sociable and approachable team member, I excel in fostering positive working relationships. I am committed to engaging with colleagues through collaborative projects and clear, factual communication, recognizing that successful projects are the result of cohesive team effort. My philosophy at work is "keep it simple and iterate", ensuring that projects remain manageable and adaptable to change, while paving the way for constant improvement. This belief in the power of effective teamwork and iterative processes drives project success and enhances overall team dynamics.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Berlin (up to 50km)
Experience
- AXA FranceSenior Machine Learning EngineerBANKING AND INSURANCEFebruary 2022 - January 2025 (2 years and 11 months)Paris, FranceDevelop and maintain applications for automating document reading and email classification for insurance processes:
- Work closely with data scientists and business teams to understand needs, develop models, and ensure they align with production constraints
- Build pipelines for model training and validation, clean and refactor code, and implement CodeCarbon for estimating CO2 emissions during model building
- Create CI/CD workflows for unit testing, building, and publishing packages on Nexus
- Develop and deploy Docker images and microservices using CI/CD pipelines
- Use GitOps to deploy APIs, optimize Kubernetes configurations, monitor resource usage, and optimize models to reduce resource consumption
- Collaborate on optimizing OpenShift resource configurations to reduce costs and improve performance
- Enhance and maintain microservices, develop new features, update dependencies, and reduce technical debt
- Refactor and share code across projects to avoid duplication and open-sourced some utilities like PDF conversion and OCR
- Facilitate cross-team collaboration, organize workshops, and resolve technical constraints to streamline feature productionization
- Manage and resolve urgent production issues, communicate with team members to prevent future incidents
- Replace OpenFaas with SlimFaas to lower operational costs and implemente a "scale to zero" strategy
- Deploy ML-CLI, an in-house integration testing tool across multiple projects to ensure consistency and automate deployment verification
- Onboard new team members, organize workshops on coding standards, testing, refactoring, and MLOps/GitOps practices
- Review KYC project solutions from external vendors, collaborate on metrics evaluation, and conduct performance tests
- Develop a Java proxy for document processing, created Kafka schemas, consumers, and producers, and deploy the solution in production environments
- ThermadorSenior Machine Learning Engineer and Full Stack DeveloperLOGISTICS AND SUPPLY CHAINDecember 2021 - March 2022 (4 months)Saint-Quentin-Fallavier, FranceSupport the developer team in maintaining ThermAppro, a custom supply-chain application that reduces stocks and maximizes service rates by predicting product demand and automating supply processes:
- Train new team members on the application behavior, AGILE methodology, and coding best practices, including code maintainability, Python PEPs, and clean code principles
- Improve the authentication system to define user profiles (commercial, supplier, director) and adapt the application store and components to display appropriately based on user profiles.
- Develop English and Spanish versions of the originally French application, implementing Angular Internationalization, tagging fields for translation, and adapting the build configuration and Nginx server for multi-locale deployment
- Refactor major backend routes and logic to improve maintainability, testability, and optimization
- Automate major monthly processing tasks and redesign the backend multi-threading architecture for better performance
- QuantmetryData ScientistLOGISTICS AND SUPPLY CHAINSeptember 2020 - November 2020 (3 months)Paris, FranceCo-lead the creation of the geostatistics expertise
- Technology intelligence work in geostatistics applied to machine learning
- Study state-of-the-art solutions in terms of data storage, modeling (Kriging, machine-learning and deep- learning applied to geostatistics) and data visualization
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Education
- Python Object-Oriented ProgrammingOrsys2017Object Oriented Programming: theory and practical use cases Implementation of tests, C/Python interface, database processing
- Master's degree in Energy and Nuclear Physics EngineeringGrenoble INP - Phelma2014Nuclear energy: nuclear data analysis, neutron physics, thermal-hydraulics, core reactor physics, statistics, linear algebra, medical imagery Geothermal, wind and solar energy Computer Science: Python, C. Projects: Monte Carlo modeling of ZOE nuclear pile, development of a graphical user interface in Python and Ablast video game in C