Another successful knowledge management migration completed.
This project involved migrating approximately 200 pages across 48 Quip files into Notion before Quip's sunset. Since there isn't a reliable way to automate the migration, I manually exported and rebuilt the content while preserving structure, formatting, and hierarchy.
To make the workspace more valuable than the original, I used Notion AI to organize information, extract action items, clean up documentation, and transform scattered notes into a searchable, future-ready knowledge base.
A smooth migration with zero compromise on content quality and a much better workspace for the team going forward.
I collaborated as a Staff Product Designer on Homebase, working through the Hakuna studio. I contributed to designing experiences for a workforce management platform, focusing on modules such as employee scheduling and payroll to make everyday tasks clearer and easier to manage. 👉 https://www.joinhomebase.com/
Proud to officially add the AWS Certified Machine Learning Engineer - Associate certification to my toolkit!
Building robust machine learning pipelines and scaling AI workloads securely on the cloud has always been a key focus of mine. Earning this certification has been a great deep-dive into mastering AWS ML infrastructure, MLOps best practices, and production-grade architectures.
Ready to bring these advanced capabilities to upcoming data science and engineering projects! Let's build something impactful. 💡💪
Congratulations on earning the AWS Machine Learning Engineer certification, Hazem khaled! Robust pipelines and cloud automation make all the difference for production-grade AI systems.
clean layout, the story cards read well. does the admin side have drafts and scheduled posts? that's usually the first thing people ask for once they start writing regularly