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I'm Daniel Temesgen, a Software Engineer in the ML Platform Team at Expedia Group, interested in tools which simplify the Model Lifecycle and deployment at scale.
I started in tech after graduating with a First Class Honours in Chemistry from University College London in 2017. Following that, I did several graduate rotations at Barclays in Data Analysis and applied ML across business banking, credit cards, payments, and customer research. Tracking down, transforming and visualising data was fun, but I increasingly became interested in making our analytics repeatable and well-tested. This got me thinking about things through a software lens. After the graduate scheme, I worked on Analytics Engineering within the Business Bank, looking at spend categorisation, mortgage market simulation and geospatial analysis.
After picking up Python and running internal workshops, I started a part-time Computer Science MSc at the University of York. During this time, I was learning about Kubernetes, Platform Engineering and how it could make productionising ML easier. After a stint as an MLE in Experian putting this into practice, I joined the ML Platform Team at Expedia Group where we develop tools and services to simplify the Model Lifecycle for real-time and batch inference.
See my GitHub for more info.