Vladimir Kitaist resume

Vladimir is a translator specializing in Chinese and English languages, with a focus on technical texts, documents for international trade, and foreign economic activities. He has extensive experience in both written and oral translations, including business correspondence and video communication, which enables him to effectively address linguistic and cultural challenges. To ensure quality and efficiency, he utilizes translation memory tools and creates custom glossaries for long-term collaborations. Vladimir is officially registered as a self-employed professional and guarantees the confidentiality of translated documents.

Reviews

Vladimir Kitaist has established himself as a reliable and professional service provider. All clients highlight the high quality of his translations, adherence to deadlines, and prompt communication. His work is consistently excellent, with no complaints. There are no negative aspects mentioned in the reviews.

Portfolio projects

Skills and Technologies: Translation of legal and business texts, translation from Chinese and English, terminology adaptation, handling export declarations, real-time translation.

Projects and Achievements: The candidate has successfully translated notarial certificates, market research, and business correspondence, demonstrating a deep understanding of the specifics of legal and business texts. Special attention was given to the translation of export declarations, where the candidate ensured accurate reproduction of the original document structure and the use of established phrases. Translations included work with Chinese and Taiwanese export declarations, as well as fact sheets for major companies such as Eurosib JSC.

Achievements and Recognition: The candidate consistently delivered high-quality translations, enabling clients to avoid legal and business misunderstandings. His real-time work and constant availability to clients highlight his professionalism and reliability in handling urgent and important tasks.

* 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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