Leading Audio R&D in Artificial Intelligence department (45+ engineers):- Securing vision for the Team and aligning it with the company's strategy- Development, implementation, and deployment of AI functionalities in Audio domain- Team building, people inspiring and leadingApplying cutting-edge AI techniques in Audio domain: - Sound Recognition, Audio LLM - Speech Intelligibility Enhancement, Sound Sources Separation, Active Noise Cancellation, Speaker Authentication, Voice Anti-spoofing, and others, - Ultra lightweight solutions tailored for deployment on TWS, Mobile devices, AI speakers, TVs, Robots, etc.

Leading cross-functional department:- Innovation Leadership (driving creativity and prototyping)- Product and technology strategies development- Intellectual property protection

- Responsible for growth strategies for R&D’s core competencies- Business and technology proposals preparation including technology landscape analysis and emerging trends identification- Open Innovation and collaboration with external partners

- Leading projects in AI domain (e.g. Computer Vision, Digital Content Management, Silent Speech Interface).- Researcher and Machine Learning Engineer

Development of medical image processing and machine learning algorithms for cancer in mammography scans detection. Generation on-the-fly diagnosis reports to support radiologists (computer aided diagnosis).

Research in the area of Acoustic Intelligence. Design and implementation of algorithms for human decision support in combating terrorism and other criminal activities (sound sources recognition in the city background). European Union grant project.