Dmitry Kruglov is a CTO with 11 years of hands-on engineering and leadership, blending high-performance systems with product-focused execution. As Chief Technology Officer at Syzygy AI in Berlin, he leads a cross-functional team of engineers and designers, shaping tech strategy, budgeting, risk, and time-to-market using DORA metrics. His technical journey spans low-latency C++, GPU-accelerated computer vision with OpenCL/CUDA, Scala big data, and Python tooling, with a practical emphasis on KISS and bottom-up leadership. He brings experience across data engineering, AI/ML platforms, and platform-scale systems—from HelloFresh data pipelines to crypto-trading engines and his early ventures as CTO/founder of 3Deye. Dmitry has a track record of building scalable, maintainable platforms and leading cross-disciplinary teams, including hiring and mentoring across onshore and offshore resources. An active contributor to quality engineering, he has enhanced testability and test infrastructure in open-source projects, notably refining test doubles and pytest-mock usage for service-layer testing.
11 years of coding experience
17 years of employment as a software developer
of Science Computational Mathematics and Cybernetics; applied informatics, of Science Computational Mathematics and Cybernetics; applied informatics at N. I. Lobachevsky State University of Nizhny Novgorod Faculty
Empty projects for different languages with a failing test
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:12 commits, 2 PRs in 4 months
Contributions summary:Dmitry primarily contributed to the project by implementing and refining test doubles using Python and the pytest-mock framework. Their work involved creating stubs, mocks, and exploring mocking techniques to test interactions with the service layer. The user also restructured test modules and added examples demonstrating the usage of pytest-mock to facilitate more effective testing. This focused effort aimed to enhance the testability of the project's codebase.
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