Yehor

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 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
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Kyiv ASP.NET Core, Web API, Entity Framework Core
Integrated third-party services (payment APIs / email
in/yehor-pavshuk
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services / etc.)
Egor-Pavshuk Implemented authentication and authorization (JWT /
•

Identity)
@EgorPavshuk
Implemented database storage using PostgreSQL
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KYIVTEPLOENERGO
LANGUAGES Commercial Operations Manager
10/2024 – Present
English
Coordinated operational workflows and monitored task
Intermediate
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execution
Collaborated with multiple departments to ensure service
Ukrainian
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continuity
Native/Bilingual
Handled high-pressure situations and decision-making
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under time constraints
SKILLS
KYIVTEPLOENERGO
Machine Learning Commercial Operations Dispatcher
Python
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02/2024 – 10/2024
PyTorch
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Monitored operational systems and responded to real-time
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NumPy
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incidents
Scikit-learn
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Coordinated with multiple departments to resolve
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OpenCV
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operational issues
torchvision
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Pandas
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Digital Cloud Technologies
Junior .NET developer
Deep Learning 04/2023 – 02/2024
CNN
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Developed and maintained desktop applications using C#,
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ResNet
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.NET, WPF, and UWP, using MVVM architecture pattern to
VGG
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separate responsibilities between layers
GoogLeNet
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Implemented data binding and commands to provide
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Transfer Learning
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communication between the backend and the UI
Image Classification
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Integrated resource dictionaries to localize an application
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Applied serialization and local data storage to save
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Mathematics application state
Linear Algebra
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Probability Theory
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Digital Cloud Technologies
Statistics
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Intern .NET developer
Calculus
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12/2022 – 04/2023
Developed a file explorer application prototype using .NET
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Practiced object-oriented programming and basic
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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
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Docker
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PROJECTS
Linux
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VS Code
• Human Pose Estimation
Visual Studio
• Developed a real-time human pose estimation pipeline
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using YOLO26n-Pose
Detected human body keypoints and visualized pose
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skeletons on video streams
Implemented real-time FPS and inference latency
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monitoring
Focused on efficient inference suitable for edge and real-
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time computer vision applications

Computer Vision CNN Experiments
Implemented and trained CNN models in PyTorch for
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image classification on CIFAR-10
Compared Custom CNN, VGG16, ResNet18 and GoogLeNet
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architectures using accuracy and loss metrics
Enhanced ResNet18 with SE and CBAM attention modules
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and evaluated their impact on classification performance

Computer Vision Applications
Developed computer vision applications using OpenCV,
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PyTorch and YOLO
Implemented face recognition, object detection and image
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processing algorithms
Fine-tuned YOLO models and built real-time computer
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vision pipelines

Kaggle ML Competition
Built and evaluated regression models using Python and
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scikit-learn
Applied data preprocessing, feature engineering and model
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evaluation techniques

Kintet E-commerce Website
11/2025 – Present
Developed and deployed a full-stack e-commerce web
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application using ASP.NET Core, Vue.js, PostgreSQL, and
Docker
Designed REST APIs and implemented layered architecture
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for product and order management
Integrated payment processing, authentication, and
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external services