Eventually Consistent

Hi, I am Ole, a former computer science researcher and software engineer turned technology executive with an extensive background in distributed systems, data platforms, and AI/ML engineering. Over the years I’ve built and scaled global data science and engineering organisations, and partnered with C-level and board-level stakeholders on data strategy, governance, and digital transformation. Beyond that, I am interested in the strategic application of frugal innovation, sustainable software engineering, the emerging shift toward AI-augmented software development lifecycles, and open source software development.

I currently work as VP, Head of Data at Deutsche Telekom, where I lead the data organisation across all business lines and functions for the German market. Before that, I was the Global Head of Data Platform at Henkel, and prior to that I held multiple roles at the LEGO Group, including Enterprise Architect responsible for data and integration strategy, and Head of Data Science Products. I’m also on the advisory board of Simultac, an early-stage hardware/software startup company with the mission to revolutionize the space of very large-scale graph computation and neural network acceleration.

Before moving into the private sector, I have spent a decade as a computer science researcher and software engineer at the intersection of high-performance computing, distributed computing, and AI/ML. I worked at LSU’s Center for Computation and Technology, Rutgers University’s RADICAL Lab, and CERN, where I designed and implemented task and workflow scheduling software for supercomputers and large-scale distributed computing federations.

I received my PhD in computer science at the University of Edinburgh in 2021, where I was advised by Prof. Malcolm Atkinson. My research explores AI-driven resilient, self-optimizing software architectures for large-scale HPC applications. You can find a list of my publications on Google Scholar.

What is this site? 🔗

I started this blog as a place to casually share and archive my notes and writings on topics I find interesting, mostly stuff about data and AI strategy and architecture, vintage computing, and a bit on my academic research.

Contact 🔗

I’d love to hear about your thoughts and ideas! Send me a message and I will see if I can help. You can email me at hello@oleweidner.com or connect with me on Mastodon and LinkedIn.