I am Jean-Michel Lievin, a senior full-stack engineer with 10+ years of experience, recently transitioning into MLOps and AI-driven data solutions. I design robust data pipelines, scalable ETL processes, and cloud architectures (AWS, Docker, Kubernetes) that bridge software engineering and data science. I’ve worked across domains including finance and tourism, delivering value through applied AI and reliable software delivery. I am immediately available for freelance, contract, or permanent roles and enjoy collaborating at the intersection of engineering and AI to optimize performance and outcomes.
I bring rigorous, hands-on experience in building industrialized ML pipelines, predictive models, and data platforms. My current focus combines software engineering with AI, MLops, and cloud-native solutions to accelerate decision-making and operational efficiency. I’m open to remote or on-site opportunities and am eager to contribute as a bridge between development teams and data science initiatives.
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