Amir Ghamarian is a seasoned software leader and machine learning practitioner with over a decade of experience blending deep learning research and robust software engineering. Currently Sr. Manager Software Development and Lead Solutions Architect at Silo AI in Amsterdam, he previously served as CTO of Machine2Learn where he translated academic methods into production AI products. His PhD background in model-based design, formal methods, and graph transformation informs a disciplined approach to building auditable, reliable ML systems. Amir’s career spans research and industry roles at top engineering firms and universities, giving him rare fluency across theory, systems design, and deployment. He is known for insisting on software quality as a first-class citizen of AI development, reducing technical debt while accelerating delivery. Based in the Netherlands, he combines academic rigor with hands-on leadership to turn complex algorithms into practical, maintainable solutions.
10 years of coding experience
12 years of employment as a software developer
Peyvand
PhD Electrical engineering, PhD Electrical engineering at Eindhoven University of Technology
Masters Computer Science, Masters Computer Science at Sharif University of Technology
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