Azat Vakhitov is a Machine Learning Engineer and Data Scientist with eight years of hands-on experience building cross-platform applications, scalable backends, and production ML systems. Currently leading OMR research and custom neural model development at Lugert Verlag, he blends C++ (Qt, mlpack) and Python expertise to solve complex music notation and OCR challenges while architecting robust data pipelines and augmentation strategies. His background spans full-stack and systems work—from REST APIs and OpenStack-based cloud units to low-level audio/video codecs and custom plugins—reflecting a rare mix of applied research and pragmatic engineering. Studying AI at Johannes Kepler Universität Linz and holding advanced diplomas from Algonquin College, he pairs formal training with practical delivery on real-world team projects. Notably, Azat’s work often surfaces in performance-focused C++ implementations where production constraints shaped his model design and optimization choices.
8 years of coding experience
1 year of employment as a software developer
Bachelor, Artificial Intelligence, Bachelor, Artificial Intelligence at Johannes Kepler Universität Linz
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Azat Vakhitov - Machine Learning Engineer, Data Scientist