Freelancer profile translated to English.

Description

Senior Fullstack Developer & AI Expert (PhD): I transform your data into high-performing web products.

**How I can help you**:

Do you have an ambitious web project or a complex data-related problem? I support CTOs, Product Managers, and Startup founders in designing robust, scalable, and intelligent web applications. My role is to remove your technical roadblocks by delivering high-quality, maintainable, and production-ready code.

My added value: The alliance of engineering and research

What sets me apart from most Fullstack profiles:

* Dual Expertise: I don't just "code an interface". Thanks to my PhD in Computer Science, I have a deep theoretical understanding of AI that I apply concretely in your React / Python environments.

* Pragmatism: My academic background does not sacrifice efficiency. I favor simple solutions to complex problems and ensure that every line of code serves your business objective.

* Autonomy & Consulting: I'm not just an executor. I advise you on architecture choices (Cloud, Database, Stack) to ensure the longevity of your product.

Typical projects and deliverables

I mainly work on technically demanding missions:

* Web Applications from A to Z: Front-end (React/TS) and Back-end (Node/Python) development with a micro-services architecture.

* AI & LLM Integration: Implementation of intelligent agents, automation of workflows via AI, or predictive data analysis.

* Stack Modernization: Migration of legacy code to modern technologies and containerization (Docker).

* Data Viz Dashboards: Creation of complex and interactive steering tools for your business data.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Université de Picardie Jules Verne
Post-Doctorate
TECH
October 2025 - Today (10 months)
Amiens, France
RAUC Project: Participation in the design of an optimized care pathway for surgical emergencies, integrating artificial intelligence and e-health. The goal is to predict post-operative complications.
AI courses at the engineering school and PHP courses at the university (Bachelor's degree)
TensorFlow Python Pytorch
Capgemini Engineering,
Data & AI Engineer
March 2024 - May 2025 (1 year and 2 months)
Paris, France
Head of AI & Data Science – Health: Medical Assistant Demonstrator Project
- Design and development of an AI-based medical assistant demonstrator, integrating multimodal workflows.
- Implementation of NLP pipelines: OCR for blood test result analysis, speech-to-text transcription with Whisper, automatic keyword extraction for metadata enrichment.
- Fine-tuning of LLMs (OpenAI, Mistral) with Hugging Face Transformers and PEFT for clinical summaries and audio transcription.
- Development of robust prompting strategies to ensure factual accuracy, clinical relevance, and model interpretability.
- Development of a multimodal RAG (Retrieval-Augmented Generation) pipeline with LangChain to extract and synthesize information from structured and unstructured medical data.
- Applied research on placenta segmentation with Transformer architectures (UNetR, SwinUNet), improving accuracy in prenatal imaging.
- Coordination between AI researchers, data scientists, and clinicians to align on medical standards and real clinical needs.
- Project and team management (15-20 people)
University of PicardieJules Verne,
ATER (Temporary Teaching and Research Assistant)
January 2022 - January 2023 (1 year)
Amiens, France
Teaching experience:
Tutorials and practical sessions for 1st, 2nd, and 3rd-year Bachelor's students (PHP, Bash, C, Advanced Programming)