Valentin Sabatet

– Led a GxP-oriented transformation from Jupyter notebooks to an auditable, version-controlled Python package, enabling regulated development practices (traceability, controlled releases, repeatable builds/tests). – Refactored 50+ notebooks (10 workflows) into a modular package covering, applying clean architecture patterns and configuration-driven execution while keeping full functional parity. – Established automated CSV validation: >1.6k tests, 90%+ coverage, UR/FR → tests traceability, and automated evidence generation for audits and re-validation. – Implemented CI/CD with quality & security gates and artifact traceability to prevent regressions and support rapid, safe releases. – Containerized the full workflow end-to-end: Dev Container for consistent developer environments + Dockerized application packaging to enable deployable, reproducible runs directly from the repository across any target environment + contribution to AWS Cloud deployment (containerized runtime).

– Led the technical direction of a deeptech AgriTech startup developing protein-based products for food industry applications. – Defined and executed R&D technical roadmap (Scrum methodology) – Recruited, trained and managed a multidisciplinary team of 5 – Built data analysis and visualization tools for scientific validation (Python, R) – Led EU regulatory compliance for product development - coordinating with regulatory bodies and multi-partner projects – Oversaw intellectual property strategy and technical documentation

– Led the complete technical overhaul of MyProMS, a proteomics analysis platform used by research teams on a national scale. Migration from legacy architecture (Perl CGI + MySQL) to modern stack (Django + Angular + PostgreSQL). – Designed and built the new web architecture: Django backend, Angular frontend, PostgreSQL database – Developed REST APIs and analytical pipelines for scientific data processing (Django REST framework) – Set up continuous integration (GitLab CI) and containerization (Docker) – Contributed to 4 international scientific publications (Science, Science Advances, Nucleic Acids Research)

– Developed Python tools and web interfaces for the MicroScope genomics platform (national-scale bioinformatics platform). – Built a data processing workflow in Python to facilitate prokaryote genome studies, integrated into the MicroScope web application – Developed a genomic region detection tool (PanRGP) based on graph algorithms

– Developed modules for enterprise document management solutions (ARender, FlowerDocs). – Built a document comparison algorithm based on state-of-the-art diff techniques – Implemented automated testing (TDD with Mockito) and continuous integration (Jenkins) – Developed C# connectors for Microsoft Office integration (Word, Outlook)

– Two internships (2014, 2015). Developed web-based visualization tools and automated database update workflows for genomics research: "visualization of amino acid conservational profile of extremophilic prokaryotes based on their genome sequence"