Olaf Wrieden
Cloud & AI Solution Engineer (AI Applications)
Queensland, Australia
Summary
🤩
Rockstar🎓
Top SchoolOlaf Wrieden is a Cloud & AI Solution Engineer with seven years of experience translating ambiguous ideas into practical, globally impactful AI and cloud solutions, currently shaping AI applications at Microsoft in Brisbane. He progressed through technical and architectural roles at Microsoft—from Azure Specialist in education to Cloud Solution Architect—and balances enterprise experience with hands-on engineering as Lead Software Engineer at Save Nemo e.V. An entrepreneurial builder and former startup CEO, Olaf mentors peers and regularly tests bleeding-edge tech at hackathons and weekend projects, bringing product-minded pragmatism to complex technical problems. His dual background in software engineering and business strategy, plus studies at AUT and stints at Stanford and University of Melbourne, give him a rare mix of technical depth and strategic perspective.
7 years of coding experience
6 years of employment as a software developer
Bachelor of Computer & Information Sciences Software Engineering, Bachelor of Computer & Information Sciences Software Engineering at Auckland University of TechnologyHigh School, High School at Waiuku CollegeThe University of MelbourneStanford University
English, German, Spanish
Github Skills (116)
custom-model10
azure-table-storage10
azure10
finder10
openai10
mongoose9
devtools9
ai9
azure-form-recognizer9
jwt-authentication9
azure-functions9
metadata9
msal9
microsoft-authentication9
tetris9
Programming languages (8)
Github contributions (5)
olafwrieden/Azure-AI-900-Practice-Questions
Mar 2021 - Jun 2022
Practice questions for the Azure AI-900 exam that helped me pass first time.
Contributions:1 review, 14 commits, 1 PR in 1 year 3 months
azureaiai-900ai-fundamentalsazure-certification
olafwrieden/patient-referral-form-recognizer
Nov 2021 - Jun 2022
A demo of Azure Form Recognizer (Custom Model) with Azure Function blob trigger to process, tag, and move a patient referral form, then save extracted data to Azure Table Storage.
Contributions:63 commits, 29 pushes, 2 branches in 7 months
azure-form-recognizerazure-functionsazure-table-storageazureform-recognizer
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