Chloé Daems is an applied AI engineer and founder with five years of experience building generative and reinforcement learning systems across industry and research, currently at Mistral AI. Trained at CentraleSupélec and ESILV with a strong software engineering background from Concordia, she blends rigorous mathematical research (CNRS load-balancing and time-series VAE work) with hands-on ML engineering—benchmarked generative models at Nokia Bell Labs and shipped cloud image-generation pipelines at AImagine. She has end-to-end experience from algorithm design and publication (VTC 2023) to production tooling (Docker, K3s, Kubeflow) and product prototyping for media clients. Passionate about social impact, she has applied ML in health, education, and sustainability through hackathons and consulting, and enjoys exploring new tools, the outdoors, and languages outside of work.
5 years of coding experience
3 years of employment as a software developer
Ingenieur, Science des données et de l’information, GPA : 4.00/4.33, Ingenieur, Science des données et de l’information, GPA : 4.00/4.33 at CentraleSupélec
Diplôme d'ingénieur, Ingénierie informatique - Data & IA, GPA : 3.67/4.00, Diplôme d'ingénieur, Ingénierie informatique - Data & IA, GPA : 3.67/4.00 at ESILV - Ecole Supérieure d'Ingénieurs Léonard de Vinci
Undergraduate, Software engineering, Undergraduate, Software engineering at Concordia University
Baccalauréat scientifique, Sciences, Baccalauréat scientifique, Sciences at Lycée Sophie Germain
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