Roy Bos

Meet Roy Bos, trainer at Xebia Academy. Roy trains on behalf of Xebia in software development.

Roy Bos is an ambitious professional specializing in building full-stack solutions. His expertise is in highly scalable, high-performance, real-time distributed systems, preferably built with lightweight open-source technologies. 

He has excellent skills in the full spectrum of software engineering like architecting, provisioning, deployment, development, and testing. His rule: quality without compromise!

Roy has strong analytical skills, excellent communication skills and likes to help teams to start innovating with cool technologies. He is constantly learning and experimenting with new tools, technologies, and frameworks.  

Roy was the tech lead for multiple successful projects for customers like ING, DHL and Nextail. He is hands-on and likes to lead by example. He prefers to use agile/ Scrum methodologies. Currently Roy is building cloud-native systems focusing on highly scalable (elastic) and high-performance systems. He is now using Go and Scala as primary languages.  

He is available for various roles (or combination) like: Consultant, Tech Lead, architect, Full Stack Engineer, Scrum Master. 

Upcoming courses

LLMOps on GCP

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with the Google Cloud Platform (GCP). In this hands-on learning experience, you will learn best practices for building modular LLM applications. In the process, you will gain a solid understanding of the nuances between traditional MLOps and LLMOps. The course will also equip you with the skills to iterate and analyze production data, enabling you to identify and implement continuous improvements for real-world success. Elevate your LLMOps proficiency on GCP and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape. In this hands-on learning experience, you will learn best practices for building modular LLM applications. In the process, you will gain a solid understanding of the nuances between traditional MLOps and LLMOps. The course will also equip you with the skills to iterate and analyze production data, enabling you to identify and implement continuous improvements for real-world success. Elevate your LLMOps proficiency on GCP and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape.

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