Jaime Joseba Hidalgo García
About Jaime Joseba Hidalgo García
Jaime Joseba Hidalgo García is the Lead Systems Engineer at CCC Intelligent Solutions, where he specializes in designing and maintaining Kubernetes infrastructure. He holds a Bachelor's and Master's degree in Telecommunications Engineering and has contributed to various AI and Kubernetes-related projects.
Work at CCC Intelligent Solutions
Jaime Joseba Hidalgo García currently serves as Lead Systems Engineering at CCC Intelligent Solutions, a position he has held since 2023. In this role, he is responsible for overseeing the design and maintenance of infrastructure for Kubernetes clusters, specifically focusing on GPU AI training. Prior to this, he worked as a Senior Systems Engineer from 2021 to 2023 and as a Systems Engineer from 2019 to 2021. His experience at CCC also includes a brief tenure as a Solutions Architect in 2019.
Education and Expertise
Jaime holds a Bachelor’s Degree in Telecommunications Engineering from Universidad del País Vasco/Euskal Herriko Unibertsitatea, where he studied from 2013 to 2017. He furthered his education with a Master of Telecommunications Engineering at the same institution from 2017 to 2019. Additionally, he studied Cybersecurity & DevOps at the Illinois Institute of Technology, earning a Master of Information Technology and Management in 2019.
Background
Before joining CCC Intelligent Solutions, Jaime worked at Bilbao Dynamics as an Engineer and Teacher from 2016 to 2018. His early career involved teaching and engineering roles, which laid the foundation for his later work in systems engineering and architecture. His transition to CCC began in 2019, where he progressively took on more complex roles in systems engineering.
Achievements
Jaime co-published a blog post with AWS that outlined a custom approach for hosting complex AI models using Amazon SageMaker. He has authored KubeAutodeploy, a Python library aimed at automating the deployment of parallel distributed jobs for AI training and inference. Additionally, he developed several tools, including MSEye for Kubernetes environment monitoring and BlockEye for visualizing compute resources in on-prem datacenters.
Innovative Tools and Contributions
Jaime has created multiple innovative tools that enhance Kubernetes management and AI model orchestration. He developed an Ensemble AI model orchestration tool that features auto-inferred service call definitions and intermediate outputs feature store. His invention, Mitk (ManInTheKube), serves as a proxy tool for intercepting and debugging HTTP calls within Kubernetes, facilitating custom request forging.