Сервіс пошуку роботи №1 в Україні
Владислав
.NET-програміст
- Розглядає посади:
- .NET-програміст, ML engineer
- Вік:
- 21 рік
- Місто проживання:
- Київ
- Готовий працювати:
- Дистанційно, Київ
Контактна інформація
Шукач вказав: ТелефонЕл. поштуМесенджер
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/20563408/
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VLADYSLAV BEREZIN
Software Engineer | .NET Developer |
Machine Learning Enthusiast
Bachelor's graduate in Robotics, Information Systems and Technologies from Igor
Sikorsky Kyiv Polytechnic Institute. Skilled in .NET development, REST API design, SQL
databases, and machine learning applications.
Experienced in developing full-stack web applications, audio classification systems
using deep learning, and industrial manufacturing processes. Seeking opportunities to
apply software engineering and AI knowledge in a professional environment.
PROJECTS:
Intelligent Audio Recognition System for Medical Service Robot.
Developed a real-time audio classification subsystem using Deep Learning.
Built a custom balanced dataset from multiple public audio sources.
Compared CNN and Transformer architectures. The influence of audio window length
and window arrival interval on classification quality and processing latency was
studied
.NET based Task Management System.
Developed a multi-layer task management platform inspired by Jira.
Implemented authentication, authorization, task assignment, comments, tags, and
status management. Designed RESTful APIs and relational database structure.
WORK EXPERIENCE:
Trainee .NET developer, EPAM Systems, 1 year.
Participated in a structured .NET training program, developing foundational
knowledge of C#, OOP, ASP.NET Core, Entity Framework Core, SQL, Git, Web API
and Angular.
Worked under the guidance of an experienced mentor who provided technical
guidance, reviewed solutions, and helped improve my coding skills.
Machine Operator, Paper Cup Manufacturing Plant, 2024 – Present
Perform machine setup, quality control, and troubleshooting. Monitor production
parameters and ensure compliance with manufacturing standards.
Understand the complete production workflow from raw paper preparation to
finished paper cup manufacturing.
[відкрити контакти ](див. вище в блоці «контактна інформація») https://github.com/vlad3958 093-087-07-83
Software Engineer | .NET Developer |
Machine Learning Enthusiast
Bachelor's graduate in Robotics, Information Systems and Technologies from Igor
Sikorsky Kyiv Polytechnic Institute. Skilled in .NET development, REST API design, SQL
databases, and machine learning applications.
Experienced in developing full-stack web applications, audio classification systems
using deep learning, and industrial manufacturing processes. Seeking opportunities to
apply software engineering and AI knowledge in a professional environment.
PROJECTS:
Intelligent Audio Recognition System for Medical Service Robot.
Developed a real-time audio classification subsystem using Deep Learning.
Built a custom balanced dataset from multiple public audio sources.
Compared CNN and Transformer architectures. The influence of audio window length
and window arrival interval on classification quality and processing latency was
studied
.NET based Task Management System.
Developed a multi-layer task management platform inspired by Jira.
Implemented authentication, authorization, task assignment, comments, tags, and
status management. Designed RESTful APIs and relational database structure.
WORK EXPERIENCE:
Trainee .NET developer, EPAM Systems, 1 year.
Participated in a structured .NET training program, developing foundational
knowledge of C#, OOP, ASP.NET Core, Entity Framework Core, SQL, Git, Web API
and Angular.
Worked under the guidance of an experienced mentor who provided technical
guidance, reviewed solutions, and helped improve my coding skills.
Machine Operator, Paper Cup Manufacturing Plant, 2024 – Present
Perform machine setup, quality control, and troubleshooting. Monitor production
parameters and ensure compliance with manufacturing standards.
Understand the complete production workflow from raw paper preparation to
finished paper cup manufacturing.
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