Vladimir Sydorskyy
About Vladimir Sydorskyy
Vladimir Sydorskyy is a Deep Learning Engineer with a Master's degree in Computer Science and a Bachelor's degree in System Analysis from the National Technical University of Ukraine 'Kyiv Polytechnic Institute'. He has achieved Kaggle Master status and has experience working as an NLP Data Scientist at Deloitte before joining Respeecher, where he has been employed for five years.
Work at Respeecher
Vladimir Sydorskyy has been employed at Respeecher as a Deep Learning Engineer since 2019. His role involves applying advanced techniques in machine learning and deep learning to enhance the company's voice synthesis technology. Respeecher specializes in voice cloning and audio restoration, and Sydorskyy's contributions are integral to the development of innovative solutions in this field.
Education and Expertise
Vladimir Sydorskyy earned a Master's degree in Computer Science from the National Technical University of Ukraine 'Kyiv Polytechnic Institute' from 2020 to 2022. Prior to that, he completed a Bachelor's degree in System Analysis at the same institution from 2016 to 2020. His academic background provides a solid foundation in both theoretical and practical aspects of computer science and system analysis.
Background
Before joining Respeecher, Vladimir Sydorskyy worked as an NLP Data Scientist at Deloitte for seven months in 2019, where he focused on natural language processing projects. His experience at Deloitte contributed to his understanding of data science applications in industry settings. He has continued to build on this experience in his current role, emphasizing the importance of machine learning in audio technology.
Achievements
Vladimir Sydorskyy has achieved Kaggle Master status, which signifies advanced expertise in data science competitions. This recognition reflects his skills in data analysis and machine learning. Additionally, he has a proven track record of mentoring individuals in machine learning and deep learning, showcasing his commitment to fostering knowledge and skills in the field.
Technical Skills
Vladimir Sydorskyy possesses strong expertise in digital signal processing (DSP) and generative algorithms. These skills are essential for his work in voice synthesis and audio processing at Respeecher. His technical knowledge supports the development of innovative solutions that leverage deep learning techniques to improve audio quality and user experience.