Asiya Shakhmametova is a Senior Software Engineer based in Greater Paris with a background bridging optical physics and machine learning-driven data systems. She has built ML-based recommendation engines, APIs and data infrastructure across roles at Datadog and Vestiaire Collective, and earlier developed color-prediction algorithms and experimental pipelines at L'Oréal. Her training in optics and semiconductor physics informs a practical, measurement-driven approach to ML and ETL problems, turning physical-sensing intuition into robust production services. Though early in her software career, she brings uncommon domain depth—spectroscopy, colorimetry and BRDF modeling—that helps surface-signal quality issues before they reach models or users.
1 year of coding experience
10 years of employment as a software developer
Bachelor's degree, Semiconductor physics, Bachelor's degree, Semiconductor physics at Novosibirsk State University (NSU)
Master's degree, Automatics, Signal and Image Processing, Master's degree, Automatics, Signal and Image Processing at Université Paris-Saclay
Engineer’s Degree, Laser and Optical Engineering, Engineer’s Degree, Laser and Optical Engineering at Institut d'Optique Graduate School
Contributions:5 reviews, 12 PRs, 35 pushes in 3 months
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