Position: ML engineer, Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 5


I started out as a nuclear physicist who know how to code. I have experience with computer vision.  Project work:
*Developed MVP Integration of advertising into a real-time video stream stack (OpenCV, C++, SQL). 
*OCR for mobile application(FastTextScan). 
One year of experience in classical ds and ml. 
*Predictions of customer churn for local mobile operator.
*Time Series
*data visualization and so on.

I have been working with sound for the last 4 years (2 years in Galamat It holding and then almost 2 years in DauysKit startup as senior ML engineer) and have experience with ASR, TTS, KWS, VAD, emotion and gender recognition, biometry.

*We built a speech recognition system from scratch for the Kazakh language.
That solution include:
1. Development of a speech corpus collection platform (cool achievement, we collected 10 000 hours labeled speech data in 4 months, hundreds of active users).
2. Implementation and training SOTA. (helps us to do conclusion and finish experiments before open source implementation).
3. Design and development of microservice architecture.
4. Inference optimization and deploy our speech recognition system on cloud.

With 10,000 hours of Kazakh data, it is easy to transfer the model for other low-resource Turkic languages like Kyrgyz, Tatar, and Uzbek with extra low data. 

* Collect two language speech data from professional actress in order to build bilingual tts.
* Development no-code conversational platform (B2B, B2C) for chat bots.