Mar 2026 – Present · 2 mos · Paris, Île-de-France, France · Remote

Jan 2026 – Present · 4 mos · Paris, Île-de-France, France · Remote

• I build and ship production AI products and deliver hands-on AI engineering for B2B clients.
• My work focuses on LLM-powered systems: agentic workflows, RAG pipelines, and AI backends used in real applications. I work end-to-end, from architecture and prototyping to production deployment and iteration.
• What I typically do:
• Build LLM agents with tool-calling, memory, and control logic
• Design and ship RAG systems (ingestion, embeddings, vector stores)
• Develop AI backends & APIs (Python, Typescript or Rust)
• Ship AI-powered web and mobile apps (SaaS, internal tools, automation)
• I’m used to delivering in high-constraint environments (healthcare, biotech), where reliability, grounding, and traceability matter as much as speed.

Jan 2026 – Feb 2026 · 1 mo · Dallas, Texas, United States · Remote

• I designed and implemented a graph-based, safety-first AI concierge that explains medical results using selective data sources, enforces escalation and state persistence, and ensures grounded, auditable responses for sensitive healthcare use cases.

Jan 2025 – Jan 2026 · 1 yr · Remote

• Created an entire RAG system around the PubMed database to allow The Biomedical team to speed their research by 3x with question answering and data sourcing with no hallucinations

Oct 2023 – Jan 2025 · 1 yr 3 mos · Remote

• Developed an unified framework to load data 10x faster and with data validation across all public Health datasets.

Feb 2023 – Oct 2023 · 8 mos

• Trained multiple LLMs from large to XXL sizes, using Supervised Fine-tuning (sft) and RLHF: Flan-t5, Llama, GPT-J.
• Created an optimized the best open-source ASR tool using Openai Whisper and NVIDIA NeMo.
• Created an internal framework to efficiently train and expose LLMs on GCP using one or multiple GPUs and request batching when possible.
• Maintained a Python SDK, a Slack bot, and a Discord bot that allows users to interact with our Summarization API in seconds.

Oct 2022 – Feb 2023 · 4 mos

• Created a Python SDK to communicate with Summarization API, including robust testing and good development practices.
• Developed a benchmark tool that automates gathering summaries from multiple APIs.
• Updated API documentation and user guides for the different API endpoints.

Jun 2022 – Feb 2023 · 8 mos · Brest, Brittany, France

• Led the training of huge models on multi-GPU instances on GCP and determined the best practices according to the company policies.
• Deployed a self-managed MLFlow instance with artifacts storage on S3 buckets, associated with a Python package that handles all user's configuration variables.
• Designed Agile/Git workshops to standardize the AI team's project management and code workflows.

Jun 2021 – May 2022 · 11 mos · Brest, Brittany, France

• Deployed the first Computer Vision model in production by training a model from scratch, building an API and deploying it on the company private servers.
• Initialized deep learning models conversion to ONNX for multiple projects and models by creating guidelines and documentation for my team.
• Contributed to develop, document and extend the use of an internal ML app deployment template by supervising releases and upgrades.
• Developped multiple applications to showcase ML usage with coworkers by building and deploying Streamlit apps.
• Explored a new solution for document classification by fine-tuning a LayoutLMV2 model in order to demonstrate feasibility.

Jan 2019 – Jan 2020 · 1 yr · Brest, Brittany, France

Feb 2018 – Aug 2018 · 6 mos · Compiègne, Hauts-de-France, France

Jul 2015 – Aug 2015 · 1 mo · Le Meux, Hauts-de-France, France

Jul 2014 – Aug 2014 · 1 mo · Compiègne, Hauts-de-France, France