Saida Mussakhojayeva is a Senior Data Scientist and ML engineer specializing in speech and language technologies, with a decade of experience building TTS, ASR, and voice conversion systems. Based at the Institute of Smart Systems and Artificial Intelligence (Nazarbayev University), she has led the creation of the first Kazakh Emotional TTS and any-to-any Kazakh voice conversion engines and delivered a Kazakh TTS with MOS > 4.0. Her research spans multilingual speech recognition—achieving a 55%+ improvement across 10 Turkic languages—and contributions published at INTERSPEECH and LREC. Trained at KAIST in NLP and fluent in Kazakh, English, and Russian, she blends deep research expertise with practical production skills using PyTorch, TensorFlow, Kaldi, and Docker. She also mentors future engineers as an adjunct instructor, designing course material and coding assignments that bridge theory and applied ML. Currently exploring zero-shot TTS, emotional synthesis, and voice cloning opportunities, she thrives at the intersection of R&D and real-world deployment.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Nazarbayev University
Master's degree, Computer Science, Master's degree, Computer Science at Korea Advanced Institute of Science and Technology
A multilingual ASR model that can recognize ten Turkic languages—Azerbaijani, Bashkir, Chuvash, Kazakh, Kyrgyz, Sakha, Tatar, Turkish, Uyghur, and Uzbek.
Contributions:10 commits, 21 pushes, 1 branch in 5 months
Contributions:3 commits, 1 PR, 7 pushes in 1 year 5 months
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