Ukraine's #1 job service
Yehor
Computer Vision Engineer
- Considering positions:
- Computer Vision Engineer, інженер комп'ютерного зору, інженер машинного навчання, Machine Learning Engineer, CV, ML Engineer
- Age:
- 26 years
- City of residence:
- Kyiv
- Ready to work:
- Remote
Contact information
The job seeker has provided: Phone numberEmailMessenger
Name, contacts and photo are only available to registered employers. To access the candidates' personal information, log in as an employer or sign up.
You can get this candidate's contact information from https://www.work.ua/resumes/19525452/
Uploaded file
Quick view
version
This resume is posted as a file. The quick view option may be worse than the original resume.
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
[open contact info ](look above in the "contact info" section) Software Developer
09/2025 – Present
[open contact info ](look above in the "contact info" section)
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
More resumes of this candidate
Considering positions: ASP.NET developer, .NET developer, ASP.NET-програміст, 2 more positions
Remote
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...
Similar candidates
-
Qt Software Engineer
Remote -
Інженер комп'ютерних систем
Remote, Vinnytsia -
Комп'ютерний інженер
60000 UAH, Remote, Vinnytsia , more 6 cities -
Electrical engineer
Remote -
BIM engineer (HVAC, energy audit, heating, ventilation, air condition)
75000 UAH, Remote, Kyiv, Other countries
Compare your requirements and salary with other companies' jobs:
The candidate's resume is posted at https://www.work.ua/resumes/19525452/