Mariya Mkrtchyan resume

Maria Mkrtchyan is an experienced instructor in 2D and 3D graphics at the Faculty of Design at the Architectural and Construction University. With over 20 years of experience in graphic design, she shares her extensive knowledge and expertise with her students. Her foundational education in IT and computing enables her to blend technical knowledge with creative skills effectively. In her work, she utilizes a range of software including CorelDRAW, Adobe Photoshop, Illustrator, InDesign, After Effects, Premiere Pro, as well as 3DS MAX with V-ray and Corona Render for rendering.

Reviews

Maria Mkrtchyan consistently receives positive feedback from her clients, who describe her work as professional, fast, and high-quality. Clients appreciate her ability to accurately understand their requirements, respond promptly to changes and suggestions, and maintain constant communication. Maria demonstrates a high level of client orientation, carefully listening to customer wishes and offering constructive solutions. Her pricing is considered reasonable, and her work process is transparent. Reviews often highlight her ability to complete tasks ahead of schedule, which builds trust and satisfaction among clients. Many express a desire to continue collaborating with Maria in the future.

Portfolio projects

Skills and Technologies: 3D modeling, visualization, integration of 3D models into photographs.

Projects and Achievements: The candidate has worked on projects involving the integration of 3D models into photographs, including canopies and containers. They have also modeled interiors, such as a bathroom with a cornice and a sofa integrated into an interior setting. One project involved creating rubber rings for a catalog, showcasing skills in product design and visualization.

Achievements and Recognition: Successful integration of 3D models into real photographs, enhancing the visual representation of products and interiors. One of the projects was published in an online catalog, attesting to the quality of the candidate's work.

* 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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