Iuliia Kravchenko
About Iuliia Kravchenko
Iuliia Kravchenko is a Data Engineer with a Master's degree in Mathematics from the Moscow Institute of Physics and Technology. She has extensive experience in AI voice generation projects and is currently employed at Respeecher, where she enhances multilingual data management.
Work at Respeecher
Iuliia Kravchenko has been employed at Respeecher as a Data Engineer since 2022. In this role, she focuses on enhancing data management processes and improving cross-language voice transfer projects. Her contributions include curating language datasets, which support the company's initiatives in AI synthetic voice generation.
Education and Expertise
Iuliia Kravchenko holds a Master's degree in Mathematics from the Moscow Institute of Physics and Technology (State University) (MIPT). She also studied Hindi at the Institute of Asian and African Studies, MSU. Additionally, she has pursued deep learning courses on Coursera from 2018 to 2032, further developing her expertise in data engineering and artificial intelligence.
Background
Before joining Respeecher, Iuliia Kravchenko worked as a Web-Developer Consultant for the Peace Corps from 2008 to 2009. This experience contributed to her technical skills and understanding of web development, which she later applied in her data engineering career.
Achievements in AI Voice Generation
Iuliia Kravchenko has successfully delivered over 15 AI synthetic voice generation projects. Her work involves training neural networks and conducting error analysis to ensure high-quality outcomes. She also expanded the voice collection by 25% within six months by organizing and supervising pre-recorded voice collection efforts.
Multilingual Capabilities
Iuliia Kravchenko possesses extensive fluency in multiple languages, including Ukrainian, Russian, Sanskrit, and Hindi. This multilingual capability enhances her effectiveness in data engineering, particularly in projects that require cross-language voice transfer and dataset curation.