Сервіс пошуку роботи №1 в Україні
Yehor
Computer Vision Engineer
- Розглядає посади:
- Computer Vision Engineer, інженер комп'ютерного зору, інженер машинного навчання, Machine Learning Engineer, CV, ML Engineer
- Вік:
- 26 років
- Місто проживання:
- Київ
- Готовий працювати:
- Дистанційно
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/19525452/
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Yehor Pavshuk OBJECTIVE
Computer Vision / Motivated software developer with strong programming
fundamentals and a growing specialization in Computer
Machine Learning Vision and Deep Learning. Hands-on experience with Python,
PyTorch, CNN architectures and computer vision. Looking
for a Computer Vision ML Engineer position where I can
apply my analytical skills, continue learning modern AI
techniques, and contribute to real-world ML projects
PROFESSIONAL EXPERIENCE
Freelance
[відкрити контакти ](див. вище в блоці «контактна інформація») Software Developer
09/2025 – Present
[відкрити контакти ](див. вище в блоці «контактна інформація»)
Developed and maintained web applications using
•
Kyiv ASP.NET Core, Web API, Entity Framework Core
Integrated third-party services (payment APIs / email
in/yehor-pavshuk
•
services / etc.)
Egor-Pavshuk Implemented authentication and authorization (JWT /
•
Identity)
@EgorPavshuk
Implemented database storage using PostgreSQL
•
KYIVTEPLOENERGO
LANGUAGES Commercial Operations Manager
10/2024 – Present
English
Coordinated operational workflows and monitored task
Intermediate
•
execution
Collaborated with multiple departments to ensure service
Ukrainian
•
continuity
Native/Bilingual
Handled high-pressure situations and decision-making
•
under time constraints
SKILLS
KYIVTEPLOENERGO
Machine Learning Commercial Operations Dispatcher
Python
•
02/2024 – 10/2024
PyTorch
•
Monitored operational systems and responded to real-time
•
NumPy
•
incidents
Scikit-learn
•
Coordinated with multiple departments to resolve
•
OpenCV
•
operational issues
ONNX
•
torchvision
•
Digital Cloud Technologies
Pandas
•
Junior .NET developer
Weights & Biases
•
04/2023 – 02/2024
Developed and maintained desktop applications using C#,
•
Deep Learning .NET, WPF, and UWP, using MVVM architecture pattern to
Pose Estimation
•
separate responsibilities between layers
Object Detection
•
Implemented data binding and commands to provide
•
CNN
•
communication between the backend and the UI
Semantic Segmentation
•
Integrated resource dictionaries to localize an application
•
Transfer Learning
•
Applied serialization and local data storage to save
•
Image Classification
•
application state
Mathematics Digital Cloud Technologies
Linear Algebra
•
Intern .NET developer
Probability Theory
•
12/2022 – 04/2023
Statistics
• Developed a file explorer application prototype using .NET
•
Calculus
• Practiced object-oriented programming and basic
•
application architecture
ADDITIONAL SKILLS EDUCATION
Programming Master • Computer Modeling of Physical Processes
•C# National Technical University of Ukraine “Igor Sikorsky Kyiv
•SQL Polytechnic Institute”
09/2018 – 01/2024
Development
Git
•
Docker
•
PROJECTS
Linux
•
VS Code
• Human Pose Estimation
Visual Studio
• Developed a real-time human pose estimation pipeline
•
using YOLO26n-Pose
Detected human body keypoints and visualized pose
•
skeletons on video streams
Implemented real-time FPS and inference latency
•
monitoring
Focused on efficient inference suitable for edge and real-
•
time computer vision applications
Computer Vision CNN Experiments
Implemented and trained CNN models in PyTorch for
•
image classification on CIFAR-10
Compared Custom CNN, VGG16, ResNet18 and GoogLeNet
•
architectures using accuracy and loss metrics
Enhanced ResNet18 with SE and CBAM attention modules
•
and evaluated their impact on classification performance
Computer Vision Applications
Developed computer vision applications using OpenCV,
•
PyTorch and YOLO
Implemented face recognition, object detection and image
•
processing algorithms
Fine-tuned YOLO models and built real-time computer
•
vision pipelines
Kaggle ML Competition
Built and evaluated regression models using Python and
•
scikit-learn
Applied data preprocessing, feature engineering and model
•
evaluation techniques
Kintet E-commerce Website
11/2025 – Present
Developed and deployed a full-stack e-commerce web
•
application using ASP.NET Core, Vue.js, PostgreSQL, and
Docker
Designed REST APIs and implemented layered architecture
•
for product and order management
Integrated payment processing, authentication, and
•
external services
Computer Vision / Motivated software developer with strong programming
fundamentals and a growing specialization in Computer
Machine Learning Vision and Deep Learning. Hands-on experience with Python,
PyTorch, CNN architectures and computer vision. Looking
for a Computer Vision ML Engineer position where I can
apply my analytical skills, continue learning modern AI
techniques, and contribute to real-world ML projects
PROFESSIONAL EXPERIENCE
Freelance
[
09/2025 – Present
[
Developed and maintained web applications using
•
Kyiv ASP.NET Core, Web API, Entity Framework Core
Integrated third-party services (payment APIs / email
in/yehor-pavshuk
•
services / etc.)
Egor-Pavshuk Implemented authentication and authorization (JWT /
•
Identity)
@EgorPavshuk
Implemented database storage using PostgreSQL
•
KYIVTEPLOENERGO
LANGUAGES Commercial Operations Manager
10/2024 – Present
English
Coordinated operational workflows and monitored task
Intermediate
•
execution
Collaborated with multiple departments to ensure service
Ukrainian
•
continuity
Native/Bilingual
Handled high-pressure situations and decision-making
•
under time constraints
SKILLS
KYIVTEPLOENERGO
Machine Learning Commercial Operations Dispatcher
Python
•
02/2024 – 10/2024
PyTorch
•
Monitored operational systems and responded to real-time
•
NumPy
•
incidents
Scikit-learn
•
Coordinated with multiple departments to resolve
•
OpenCV
•
operational issues
ONNX
•
torchvision
•
Digital Cloud Technologies
Pandas
•
Junior .NET developer
Weights & Biases
•
04/2023 – 02/2024
Developed and maintained desktop applications using C#,
•
Deep Learning .NET, WPF, and UWP, using MVVM architecture pattern to
Pose Estimation
•
separate responsibilities between layers
Object Detection
•
Implemented data binding and commands to provide
•
CNN
•
communication between the backend and the UI
Semantic Segmentation
•
Integrated resource dictionaries to localize an application
•
Transfer Learning
•
Applied serialization and local data storage to save
•
Image Classification
•
application state
Mathematics Digital Cloud Technologies
Linear Algebra
•
Intern .NET developer
Probability Theory
•
12/2022 – 04/2023
Statistics
• Developed a file explorer application prototype using .NET
•
Calculus
• Practiced object-oriented programming and basic
•
application architecture
ADDITIONAL SKILLS EDUCATION
Programming Master • Computer Modeling of Physical Processes
•C# National Technical University of Ukraine “Igor Sikorsky Kyiv
•SQL Polytechnic Institute”
09/2018 – 01/2024
Development
Git
•
Docker
•
PROJECTS
Linux
•
VS Code
• Human Pose Estimation
Visual Studio
• Developed a real-time human pose estimation pipeline
•
using YOLO26n-Pose
Detected human body keypoints and visualized pose
•
skeletons on video streams
Implemented real-time FPS and inference latency
•
monitoring
Focused on efficient inference suitable for edge and real-
•
time computer vision applications
Computer Vision CNN Experiments
Implemented and trained CNN models in PyTorch for
•
image classification on CIFAR-10
Compared Custom CNN, VGG16, ResNet18 and GoogLeNet
•
architectures using accuracy and loss metrics
Enhanced ResNet18 with SE and CBAM attention modules
•
and evaluated their impact on classification performance
Computer Vision Applications
Developed computer vision applications using OpenCV,
•
PyTorch and YOLO
Implemented face recognition, object detection and image
•
processing algorithms
Fine-tuned YOLO models and built real-time computer
•
vision pipelines
Kaggle ML Competition
Built and evaluated regression models using Python and
•
scikit-learn
Applied data preprocessing, feature engineering and model
•
evaluation techniques
Kintet E-commerce Website
11/2025 – Present
Developed and deployed a full-stack e-commerce web
•
application using ASP.NET Core, Vue.js, PostgreSQL, and
Docker
Designed REST APIs and implemented layered architecture
•
for product and order management
Integrated payment processing, authentication, and
•
external services
Інші резюме цього кандидата
Розглядає посади: ASP.NET developer, .NET developer, ASP.NET-програміст, ще 2 посади
Дистанційно
Yehor Pavshuk Objective Motivated .NET developer with strong C# and ASP.NET skills, ASP.NET developer experienced in backend development, and familiar with Vue.js on the frontend. Seeking a backend...
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Резюме кандидата розміщено за адресою: https://www.work.ua/resumes/19525452/