I'm a Senior Machine Learning Research & Applied Engineer with 12 years of experience building and scaling production-grade AI systems across early-stage startups, billion-dollar scale-ups, and national AI initiatives.
My core strength lies at the intersection of research and engineering. While my background is rooted in applied ML and system-building, I've also led hands-on research efforts, most recently in lab environments focused on LLMs and generative models. I enjoy taking novel ideas from prototype to production, bridging the gap between experimentation and real-world impact.
Senior ML Research Engineer · Technology Innovation Institute
Core member of the foundational models team, contributing to the development and open-sourcing of Falcon LLMs, spanning Falcon 3, Falcon H1, and Falcon H1R covering the full model lifecycle.
- Full-lifecycle LLM work: pre-training, post-training & alignment, inference, and evaluation
- Development tooling: built tooling streamlining the full LLM cycle (training, data, evaluation, and release). Apply software engineering best practices to a research setting bringing engineering rigor to fast-moving research.
- Open-source contributions: Delivered targeted improvements to key open-source repositories including Torchtitan, ChatLearn, veRL, lm-evaluation-harness, and evalchemy.
Senior ML Applied Engineer / Science & Tech Lead · Contentsquare
Led a team of 4 ML engineers advancing semantic web understanding with NLP and LLMs, reducing manual setup time for new clients and enabling potential savings of up to $1 million in 2024.
- Spearheaded design and deployment of deep learning models for large-scale web content structuring, boosting data enrichment and product features.
- Oversaw ML projects end-to-end: hiring, mentoring, setting research direction, aligning with product goals, solution development, deployment and improvement on user feedbacks.
- Drove cross-functional initiatives with product, engineering, and leadership to translate research into scalable production systems.
- Improved internal ML tooling for rapid experimentation and deployment.
- Contributed to patent filings and guided research strategy through scientific literature reviews.
- Recognized as a top R&D performer for leading innovation projects shaping the team's technical roadmap.
Senior ML Applied Engineer · Contentsquare
Contributed to the core R&D AI team, building deep learning solutions to extract and structure web content at scale for predictive UX analytics.
- Led projects on DOM tree classification and unsupervised URL clustering for semantic layout analysis.
- Managed ML pipelines end-to-end: from product requirements to production deployment.
- Applied software engineering best practices: stateless design, packaging, containerization, APIs, CI/CD.
Lead ML Engineer · HrFlow.ai (formerly Riminder)
Led ML efforts for intelligent recruiting tools using deep learning in NLP and computer vision.
- Developed and deployed core models for resume parsing, layout analysis, and semantic extraction.
- Designed multi-modal pipelines for structured data extraction from unstructured CVs.
- Collaborated on AI roadmap and SaaS integration in a fast-paced, lean team.
Data Scientist · EY
Worked on data-driven consulting projects across retail and finance sectors, delivering insights through machine learning, data engineering, and visualization.
Point a lens at the papers: local agentic RAG over arXiv reports, with grounded, clickable citations.
A PyTorch native platform for training generative AI models.
Volcano Engine Reinforcement Learning for LLMs.
A flexible and efficient training framework for large-scale alignment tasks.
A framework for few-shot evaluation of language models.
Automatic evals for LLMs.
Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling
Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance
How Contentsquare reduced TensorFlow inference latency with TensorFlow Serving on Amazon SageMaker
ENSTA Paris, Institut Polytechnique de Paris
Top-5 French engineering school. Coursework in information-systems architecture, software architecture, and security. Engineering double degree.