Evgeny Milovanov resume

Evgeny Milovanov is involved in various aspects of working with sound and video, including sound design, voice-over work, vocals, editing clips for radio and television, mixing studio recordings, vocal tuning, arranging songs in different styles, creating parodies, and restoring recordings. He is ready to take on any sound-related task and deliver high-quality results.

Reviews

Evgeny Milovanov is a highly skilled and reliable freelancer. Client reviews attest to his professionalism, promptness, and quality of work. Evgeny pays close attention to clients' wishes, responds quickly to messages, and always meets deadlines, often completing work ahead of schedule. Clients appreciate his creative approach and willingness to suggest improvements, which adds value to the results. Recommendations for Evgeny are unanimous and positive, reflecting his excellent reputation and the trust he has earned from clients.

Portfolio projects

Skills and Technologies: Sound engineering, mixing and mastering, creating original soundtracks, musical accompaniment for videos and games, live musical performances.

Projects and Achievements: The candidate has participated in live techno performances at the Port club in Kaliningrad and has worked on vocals, mixing, and mastering compositions, including collaborations with Ukhanova O. and Milovanov E. in the "Dance" project. He has also recorded and mixed music for the band RAMRIDERS, created original soundtracks for the game Dancing Line, and provided sound for video logos. In a project for Yeltsin Bar, he provided complete musical sound for a promo video, including noises and effects.

Achievements and Recognition: The candidate has received positive feedback for his live performances, which have been highly praised as "excellent RAVE." His work as a sound engineer and composer demonstrates his ability to create high-quality musical pieces and soundscapes, as evidenced by successful projects and collaborations with various artists and companies.

* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.

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