Mahdi Setayesh
Principal AI Engineer, Forward Deployed Engineering (FDE) at Smartoney
Redmond, Washington, United States
Summary
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Rockstar🎓
Top SchoolMahdi Setayesh is a Principal Software Engineer at Microsoft with a deep background in building secure, scalable enterprise systems and a PhD in Computer Science focused on image processing. Over a multi-decade technical career spanning startups and large organizations, he has progressed from hands-on .NET and C++ development to senior engineering leadership roles at OneLogin, One Identity, and Fiserv. He founded Smartoney, bringing an entrepreneurial lens to product and architecture decisions while continuing to drive platform-level work at Microsoft. Mahdi combines research rigor—evident from his PhD on particle swarm optimization for edge detection—with practical experience in access control, biometric systems, and identity/security engineering. Based in Redmond, he is known for translating complex algorithmic ideas into production-ready services and for mentoring teams through technically challenging migrations. His profile reflects a rare mix of academic depth, startup grit, and large-scale enterprise delivery.
9 years of coding experience
14 years of employment as a software developer
Master of Science Computer Engineering (Artifical Intelligence), Master of Science Computer Engineering (Artifical Intelligence) at Iran University of Science and TechnologyPhD Computer Science, PhD Computer Science at Victoria University of WellingtonBachelor of Engineering - BE Computer Software Engineering, Bachelor of Engineering - BE Computer Software Engineering at Shahid Beheshti University
Turkish, azari, English, Persian
Stackoverflow
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Github Skills (64)
chatgpt10
python10
langchain10
open-source10
typescript10
llm10
digitization10
openai10
generative-ai10
ai10
gemini10
pydantic10
anthropic10
azure-machine-learning9
azure8
Programming languages (10)
Github contributions (5)
Azure-Samples/digitization-of-piping-and-instrument-diagrams
Dec 2023 - Jul 2025
An end-to-end solution to digitize piping and instrument diagrams using Azure Services including Azure Machine Learning and AKS.
Contributions:1 PR, 2 pushes, 2 comments in 1 year 7 months
azure-machine-learningazure-servicescomputer-visiondigitizationstorage-account
Azure-Samples/load-testing-jmeter-plugins
Dec 2023 - Feb 2025
Azure Load Testing Plugins for JMeter.
Contributions:2 reviews, 2 PRs, 3 pushes in 1 year 1 month
azurejmetertestingazure-load-testing-serviceload-testing
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