Julien Denize

Software and ML Engineer | MLOps | PhD in Deep Learning | Aspiring Full-Stack Developer

I am a software and machine learning engineer with 4+ years of experience specializing in AI, backend development, and increasingly in full-stack engineering. After earning a PhD in Deep Learning, I transitioned from research to engineering, focusing on building MLOps pipelines to streamline AI training, design, and deployment processes. While my core expertise lies in backend technologies (Python, FastAPI, databases), I am actively expanding into frontend development. I have a strong foundation in CI/CD, automation, and web development, and I enjoy building and contributing to open-source projects that make AI tools easier to use and reuse.

Current Role: Research Engineer at Mistral AI

I am currently a Research Engineer at Mistral AI, where I work on open-source models for multimodal generation, reasoning, and coding agents. I also develop internal tooling, maintain Mistral AI open-source libraries, and contribute to the broader open-source ecosystem, including projects such as vLLM and Transformers.

Previous Role: Machine Learning Engineer at CEA List

Previously at CEA List, I helped improve MLOps workflows for an AI R&D team of 80+ researchers, including data management, annotation, model training, testing, and deployment processes. I also led the team developing Pixano, an open-source data annotation framework, and contributed to applied AI projects involving LLMs, VLMs, edge deployment, and generative AI.

Academic Background

I completed my PhD in collaboration with the Laboratoire de Vision et d’Apprentissage pour l’analyse de scène(LVA) at CEA List and the Laboratoire d’informatique, du Traitement de l’Information et des Systèmes(LITIS) at INSA Rouen. My thesis, titled “Self-supervised representation learning and applications for image and video analysis”, was supervised by Romain Hérault, Jaonary Rabarisoa, and Astrid Orcesi. This work laid the foundation for my expertise in AI, particularly in self-supervised learning for visual data.

Prior to that, I earned a Master of Science in Computer Science from Télécom SudParis, with a major in Artificial Intelligence. During my studies, I completed a 6-month research internship, focusing on “People re-identification and cross-domain adaptation via generative models.”

Get in Touch

I’m always excited to connect and collaborate on new projects. Feel free to reach out! My info are available on the left sidebar !