Taya Penskaya is an engineering manager and computer vision specialist with nine years of experience building perception systems for Level 4 autonomous delivery robots and production-facing ML features. Currently leading camera-based close-range perception at Yandex, she progressed from hands-on research and model development to managing delivery of robust perception stacks. Her background includes lipsync and talking-face research at Tinkoff—where she adapted English models to Russian and optimized architectures like LSTM, Transformers and GANs—and practical FoodTech OCR and face-recognition systems that drove measurable product improvements. Trained at MIPT and ITMO, she blends strong academic foundations with applied research, shipping lightweight, high-quality models for constrained real-world deployments. An operator who still codes, she’s equally comfortable exploring novel metrics for image and lip-sync quality as she is steering cross-functional teams to production.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Moscow Institute of Physics and Technology (State University) (MIPT)
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at ITMO University
Mathematics, Mathematics at Saint Petersburg Lyceum 239
Contributions:106 commits, 39 pushes, 1 branch in 16 days
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