Summary
Ali Nazari is a software engineer specializing in engineering productivity, currently shaping developer workflows at Divar after driving search, real estate, and platform features for Iran’s largest classifieds app. With eight years of hands-on experience across backend, frontend, and machine learning roles, he blends product-focused engineering with system-level thinking to improve quality and scale for millions of users. His background includes building core features like event-sourcing and authentication at BaleMessenger and research work on Persian poetry generation and metre detection, reflecting a practical fusion of ML research and production engineering. Based in the UAE and holding degrees from Amirkabir University and ongoing graduate study in computer networks, he pairs strong academic foundations with a track record of shipping impactful, user-centered systems. Notably, his career path shows a rare rotation from ML research and teaching assistantships into productivity engineering, giving him a broad perspective on both developer and end-user needs.
8 years of coding experience
5 years of employment as a software developer
Amirkabir University of Technology
Master of Science - MS Computer Networks, Master of Science - MS Computer Networks at Iran University of Science and Technology
Diploma Mathematics, Diploma Mathematics at Alborz Highschool
Persian, English