Putting language models inside enterprise applications, with rules, tests and guardrails.
I am a Software & AI Engineer, graduated from ESIEE Paris (2026) after three years as an apprentice SAP & AI developer at Worldline, a European payments group. I build applications in Java, Python and TypeScript, and I integrate LLMs into enterprise workflows with rules, tests and guardrails around them.
- 🔭 Recent work: AIRA, a performance-debt analysis tool for ABAP code on S/4HANA: the rules decide, the LLM explains.
- 🌱 Next: Specialised Master's in Data & Generative AI Engineering at EFREI (work-study), from January 2027.
- 🎓 Education: Engineering degree at ESIEE Paris (2026) | Bachelor's at CNAM (16.4/20).
- 🌍 Languages: 🇫🇷 Native | 🇬🇧 Fluent (TOEIC 925) | 🇲🇬 Native.
| Languages | Frameworks | GenAI & Integration | SAP | Cloud & DevOps |
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Sept 2023 – Sept 2026 | Puteaux | European payments group
- 🤖 AIRA (2025-2026): performance-debt analysis of ABAP code on S/4HANA, owned end to end from scoping to a minimum viable product. ABAP Test Cockpit findings are classified and scored by a deterministic rule engine; a governed LLM layer (SAP Generative AI Hub) writes the explanations, never the decisions. Python/Flask on SAP BTP (Cloud Foundry), pytest.
- 🔍 AI-assisted code review (2024-2025): ABAP code reviews assisted by AI, with a senior developer.
- ⚙️ Integration: SAP Integration Suite (CPI) flows with Groovy, between internal applications and third-party software.
- 🔄 SAP licence management (2023-2024): user licence monitoring tools in object-oriented ABAP (CDS Views, reporting), releases through Rev-Trac.
- 🔧 Corrective maintenance: bug fixing on existing SAP ECC applications.
Sept 2022 – Aug 2023 | Melun
- 🛠️ Identity-management tools in C# (Active Directory), system administration automated with PowerShell.
Performance-debt analysis of ABAP code on S/4HANA. A deterministic rule engine classifies and scores, a governed LLM layer explains. Minimum viable product built at Worldline.
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Private healthcare platform for hospital admission requests (end-of-studies project). Physician verification against the RPPS registry through FHIR (CamemBERT, Jaro-Winkler), clinic recommendation by multi-criteria scoring. REST API, functional lead in a 7-dev Scrum team.
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Classifies free-text support tickets (category, priority, team) with a language model running locally. Personal data masked before the call, typed output, human validation below a confidence threshold.
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Puzzle game reimplementation: dynamic rule engine, level parsing and game logic, then a web version with WebSockets deployed on Railway.
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Educational Android game, MVVM architecture.
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Non-blocking messaging system: public messages, P2P private connections, file transfer, custom network protocol.
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