Lee Bernasconi is an accomplished technology leader currently serving as a Director of AI/ML Engineering at Red Hat. He possesses extensive experience in building and scaling machine learning systems, MLOps, and leveraging open-source technologies to drive innovation. Lee is passionate about developing robust AI/ML solutions that can be effectively deployed and managed in production environments. His expertise spans across distributed systems, cloud-native architectures, and leading high-performing engineering teams to deliver impactful AI-driven products. He is a strong advocate for open source principles and their application in the artificial intelligence and machine learning landscape.
Lee Bernasconi's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads and mentors a team of engineers focused on developing and enhancing Red Hat's AI/ML platforms, such as Red Hat OpenShift AI, enabling customers to build, deploy, and manage AI-powered applications at scale.
Instrumental in promoting and implementing MLOps best practices within Red Hat and for its customers, focusing on streamlining the machine learning lifecycle from experimentation to production monitoring and retraining.
Actively contributes to and champions open-source projects in the AI/ML space, aligning with Red Hat's commitment to open innovation. This includes work related to Kubeflow, Open Data Hub, and other cloud-native AI technologies.
Frequently shares insights and expertise on AI/ML, MLOps, and open source at industry conferences, webinars, and through technical publications, contributing to the broader community's knowledge.
Newcastle University Business School - Year 2005
Peter Symonds College - Year 2002
General Assembly
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