Position: Machine learning researcher (speech technologees)
Category: Data Science
English level: fluent
Years of experience: 11

Karaulov, I., Tkanov, D. (2019) Attention Model for Articulatory Features Detection. Proc. Interspeech 2019

Sokhatskyi, V., Zvyeryeva, O., Karaulov, I., Tkanov, D. (2019) Embedding-based system for the Text part of CALL v3 shared task. Proc. SLaTE
2019: 8th ISCA Workshop on Speech and Language Technology in Education
Experienced machine learning researcher focused on speech recognition, synthesis and related tasks. I have 12+ years of experience with speech-related technologies, 19+ years of overall experience in software development. Participated in a number of successful ML projects, as well as in scientific research. An author of papers presented at international conferences such as Interspeech. I have experience not just in research, but also in the integration of AI and ML solutions into commercial projects.

Working Experience

* Voiceitt
Speech recognition for people with speech impairments and highly unintelligible speech. Position: senior speech recognition researcher.
- Creating models and algorithms for continuous dysarthric speech recognition (English)
- Spoken commands recognition for people with speech disorders (language-independent)
- Speech recognition optimization and integration into the server-side solutions and mobile applications.
- Voice conversion and speech synthesis, noise robust ASR and other speech-related tasks

* SciForce
Various AI/ML projects, mainly speech-related.
Position: AI lead, senior ML engineer.
- Recognition and assessment of accented speech for 60+ languages.
- A number of NLP projects dealing with text classification, machine translation, etc.
- Computer vision projects
- Building predictive models for entertainment business

* EnvionSoftware
- Educational software development

* Radmir company
- Software development for ultrasound scanners

Education:
Master of Applied Math,
Kharkiv National University of Radioelectronics, Department of Applied Math
I have 12+ years of experience in machine learning (20 years of commercial experience in software engineering). My main interest lies in audio/speech technologies, as well as natural language processing. I've successfully created competitive speech recognition systems dealing with non-standard and unintelligible speech. I'm keen on creating new non-standard solutions for solving non-standard problems. Although I prefer research tasks, I have broad experience in creating end-to-end solutions