Tasos Alexiou
Senior Software Engineer at Hewlett Packard Enterprise
Athens, Attica, Greece
Summary
🤩
Rockstar🎓
Top SchoolTasos Alexiou is a Senior Software Engineer based in Athens, Greece, with 13 years of experience building web and cloud-native applications. He has deep hands-on experience in full-stack development, particularly improving user-facing features and UX in open-source ML tooling like Kubeflow and Kale. At Arrikto and now Hewlett Packard Enterprise he focused on bridging frontend polish with robust backend integrations, shipping features such as namespace navigation, dashboard enhancements, and JupyterLab volume management. His contributions to Kubeflow’s Kale include thoughtful UI fixes that prevent step-name conflicts and clearer pipeline status displays—work that directly improves data scientists’ productivity. Known for pragmatic refactors and attention to edge-case UX, he combines production-grade engineering with a designer’s eye for interface detail. He holds a Bachelor’s in Computer Science & Telecommunications Engineering and brings a steady record of iterating on complex distributed tooling.
12 years of coding experience
10 years of employment as a software developer
Bachelor's Degree, Computer Science & Telecommunications Engineering, Bachelor's Degree, Computer Science & Telecommunications Engineering at Technological Educational Institute of Thessaly. / TEI of Thessaly
Github Skills (20)
kubernetes10
javascript10
polymer10
typescript10
machine-learning10
ui-design10
uid10
front-end-development10
typescript-types10
kubernetes-pods10
html10
typescripts10
react10
kubeflow9
angular9
Programming languages (6)
Github contributions (5)
kubeflow/kubeflow
Jan 2021 - Jan 2023
Machine Learning Toolkit for Kubernetes
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:46 reviews, 6 commits, 6 PRs in 2 years
Contributions summary:Tasos primarily contributed to the centraldashboard component, focusing on enhancing its functionality and user experience within the Kubeflow ecosystem. Their work involved fixing namespace navigation issues, modifying dashboard links, and adding support for the "All namespace" option. The user also refactored the code for better formatting and addressed issues related to applications opened in new windows, ensuring seamless communication with the main dashboard. Furthermore, the user contributed to the front-end portion of Jupyter by implementing features for data volumes, including the auto-update of mount paths when volume names are changed.
pythondata-sciencenotebookmachine-learningmlops
kubeflow-kale/kale
Nov 2019 - Mar 2020
Kubeflow’s superfood for Data Scientists
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:13 commits, 2 PRs, 2 pushes in 4 months
Contributions summary:Tasos primarily contributed to the JupyterLab extension, focusing on the frontend and user interface of the Kale Kubeflow pipeline tool. They implemented new features for cell metadata components, including step names, dependencies, and display enhancements. Their work also involved styling changes, improving the snapshot task status display, and fixing alignment issues within the user interface. They made improvements to existing components to prevent step name conflicts and enhance overall user experience.
scientistsdata-sciencejupyter-notebookmachine-learningdata-scientists
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