Yasser Elsayed
Software Engineer at NVIDIA
Kirkland, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolYasser Elsayed is a seasoned software engineer with 11 years building full-stack systems and a backend focus, currently working on AI infrastructure and HPC at NVIDIA after roles in startups and big tech. He brings deep distributed-systems and cloud experience from Microsoft and Google to hands-on work with Kubernetes and Slurm, and has contributed notable UX and deployment improvements to prominent open-source projects like Kubeflow. Comfortable across Go, Java, Python, Node.js, TypeScript and C++, he bridges low-level performance tuning and user-facing UI refinements. Yasser’s background includes research at EPFL and KAUST, reflecting a strong academic foundation in scalable data and GPU work. Colleagues describe him as pragmatic and curious—he’s as happy refactoring deployment pipelines as he is experimenting with new ice cream flavors.
11 years of coding experience
11 years of employment as a software developer
Master's degree Computer Systems; Computer Science, Master's degree Computer Systems; Computer Science at KAUST (King Abdullah University of Science and Technology)Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at EPFLThanawiya 'Amma (High School) High School/Secondary Diplomas and Certificates, Thanawiya 'Amma (High School) High School/Secondary Diplomas and Certificates at Al Saeediya Secondary SchoolBachelor of Science Computer Science, Bachelor of Science Computer Science at The American University in Cairo
Arabic, English
Github Skills (20)
javascript10
ui-components10
css10
typescript10
user-interface10
ui-design10
interface-design10
gcp10
uid10
front-end-development10
typescript-types10
html10
typescripts10
react10
kubernetes9
Programming languages (16)
Github contributions (5)
googledatalab/datalab
Sep 2016 - Mar 2019
Interactive tools and developer experiences for Big Data on Google Cloud Platform.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:4 releases, 328 commits, 671 PRs in 2 years 6 months
Contributions summary:Yasser was involved in significant front-end development, primarily focusing on user interface (UI) enhancements and component implementation within the Google Cloud Datalab project. Their contributions included implementing a new sign-in/sign-out experience, involving modifications to HTML templates and CSS class names to prevent conflicts with Bootstrap. Furthermore, they refactored the app bar component, refactoring the appearance of the table and chart style, and introduced a new file search input, adding to the project's UI/UX capabilities. They also added responsiveness to the design.
big-datagoogle-cloud-platform
kubeflow/pipelines
Nov 2018 - Aug 2019
Machine Learning Pipelines for Kubeflow
Role in this project:Front-end Developer
Front-end DeveloperContributions:1 release, 53 commits, 46 PRs in 9 months
Contributions summary:Yasser focused on improving the user interface of the Kubeflow Pipelines project. Their contributions involved refactoring and enhancing existing UI components, specifically concentrating on pagination controls within a custom table component. The commits also addressed issues in the run list, pipeline list, experiment list, and recurring run details pages. Further work included adding code formatting to the markdown viewer and implementing changes to support cloning runs.
kubeflowmachine-learningkubeflow-pipelinesmlopskubernetes
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