Freelancer profile translated to English.
Back to original languageAbout Robin
As abackend developerspecializing in REST APIs, I have led numerous projects to production, primarily withPython/Django**, and more recently with **FastAPIfor lightweight and high-performance asynchronous architectures.
I adopt a quality-oriented approach, based on **agile methodologies**, fostering close collaboration with business teams. My developments are based on **automated tests**, **rigorous documentation**, and practices that ensure maintainable, scalable, and reliable code, without compromising delivery efficiency.
I have mastered geospatialdata processingtools likePostgreSQL/PostGISandQGIS**, as well as the design of **ETL pipelinesfor ingesting and leveraging complex data. My profile also allows me to effectively addressdata engineering and sciencechallenges, with the ability to translate business needs into technical solutions.
Thanks to my dual engineering background atENSTA Parisand my **Master's in Data Science**, I have a solid understanding of **operations research, mathematical modeling**, and **statistics**, which I integrate into my data-driven approaches.
I actively participate in thecreation of IA Studioat SNCF, an internal platform dedicated to developing applications aroundLLMs(Large Language Models), enabling the design of chatbots,RAG (retrieval-augmented generation)systems, and other intelligent assistants.
In parallel, I am **self-studying Rust**, motivated by its guarantees of performance, memory safety, and relevance for modern backend systems.
Finally, I useGitLab CI/CDto automate tests and deployments, ensuringfast, smooth, and securedeliveries.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Reims (up to 30km), Troyes (up to 30km)
Experience
- SNCF RÉSEAUBack-end DeveloperTRANSPORTATIONJanuary 2023 - Today (3 years and 5 months)Saint-Denis, France-Backend developmentof APIs inDjangoandStarlette**, with **Redisfor caching- Participation in thecreation of the SNCF group's AI platform(chatbots, RAG,OpenAI APIintegration)- Systematic implementation ofunit testson new software components- Production and exposure of internalgeographical datavia APIs (SNCF Réseau)- Management ofdata depositsand APIs via a custom-developed internaldata warehouse- WritingDAGsvia an internal orchestrator (analogous to **Apache Airflow**) to populate the databases of the various APIs- Creation of a serverlessdata anonymizationapplication for HR- Carrying outOR POCsfor optimizing railway works (solving **MILP via Gurobi**)- Use of ancillary technologies:Celery, Redis, RabbitMQ- Development of aGitLab botto automatically validate certain merge requests- Work inagile methodology (SCRUM)within a product team- Implementation and maintenance ofCI/CD on GitLab
- SpinergieData ScientistTRANSPORTATIONApril 2022 - October 2022 (6 months)Paris, France- Development ofalgorithms for processing geolocated datarelated to the maritime industry- WritingPython scriptsfor the automatic updating of internal databases (**pandas, MySQL, Django ORM**)- Large-scaleweb scraping**: improvement of **extractionandclassificationalgorithms for data from the maritime web (technologies: BeautifulSoup, Selenium, Apache Tika)- Implementation of anautomatic translation processvia theAzure APIfor multilingual content enrichment- Participation inproduction deployment: automated tests(pytest), **peer reviews**, integration via **Git**, deployment in Spinergie web applications- Technologies used:Python(pandas, numpy, Django, scikit-learn, BeautifulSoup, Selenium)SQL(MySQL, **PostgreSQL**), tools: TablePlus**Git**, Azure Cognitive Services
- RTE Réseau de Transport d'ElectricitéTools and Methods DepartmentMarch 2021 - August 2021 (5 months)92800 Puteaux, FranceDevelopment of a tool for estimating the development costs of underground lines from a map trace:- Creation ofgeographical datalayers reflecting assumptions on the development costs of structures- Implementation of an automatic tracing method for structures- Estimation of economic and environmental costs of structures based solely on a trace- Tools:R Language(Shiny, sf, raster, dplyr),QGIS
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Education
- Master 2 Data scienceÉcole Polytechnique2022Machine Learning related topics : - Practical machine learning (supervised, unsupervised and validation) - Deep Learning (MLP, RNN, CNN, embedding, NLP, LSTM, Boltzmann machine ...) - Statistical Learning Theory - Reinforcement Learning - High dimensionnal Matrix estimation and PCA - Optimization for Data Science - Tail events analysis : Robustness, outliers and models for extreme values - Law and ethics of AI Other topics : - Mixed Effects models - Time series for financial data Python : sklearn, numpy, pandas, keras, tensorflow, pytorch R : dplyr, ggplot2, lme4
- Engineering degree, Applied Mathematics, Data Science and OptimizationENSTA Paris2022Parcours Science et Optimisation des données : - Optimisation : Programmation Dynamique, Optimisation et problème d'approximation, Optimisation non différentiable et méthodes proximales, Identification pour l’automatique - Recherche opérationnelle : Optimisation discrète, Recherche opérationnelle et données massives, Théorie de la complexité, Méta heuristiques - Séries chronologiques linéaires et non linéaires - Outils : Python, Julia, R, Matlab