Владислав

Vladyslav Skopenko
Python developer
Highly motivated Python Developer with a strong skill set in Web
Development and experience in automating business processes.
Passionate about coding and professional development, with a
particular interest in asynchronous programming, automation, and
FastAPI. Eager to work on challenging projects that involve cutting-
edge technologies and innovative solutions.

CONTACTS WORK EXPERIENCE
[відкрити контакти](див. вище в блоці «контактна інформація») Tekra, Kyiv, Ukraine
[відкрити контакти](див. вище в блоці «контактна інформація») March 2024 - Present
GitHub Python developer
LinkedIn Responsibilities:
Telegram Implemented the full lifecycle of license management, including
generation, activation, verification, and expiration management.
Odesa, Ukraine Created a mechanism for generating unique license keys using
encryption algorithms to ensure security.
HARD SKILLS Developed server-side verification of keys with API integration for
real-time authenticity checks and license management.
Python Set up renewal notifications and automatic blocking of expired
FastApi licenses.
SQL Designed and implemented a real-time communication protocol
NoSQL using WebSocket to facilitate seamless interaction between the
Docker orchestrator and multiple robots.
Django
Pandas GoIT, Kyiv, Ukraine
Git November 2024 - January 2025
Aiogram Mentor(Python)
Asyncio
Responsibilities:
Aioscheduler Conducted code reviews for students, providing constructive
Seaborn, Matplotlib feedback and guidance to help them improve their coding skills
SQLAlchemy and resolve errors.
Deploy Offered expert assistance with technical problems, ensuring
PyQt6 students understood the underlying concepts and best practices.
Aiohttp Inspired and supported students throughout their learning journey,
Alembic fostering a positive and encouraging environment.
Evaluated homework assignments, offering detailed feedback to
PyInstaller
help students enhance their understanding and apply the learned
concepts effectively.
LANGUAGES Ayurveda-Portal

English intermediate May 2024 - August 2025

Ukrainian native Python developer(Contact)

Responsibilities:
EDUCATION Created a comprehensive system for managing and automating
advertising campaigns across various channels.
TOdesa National Economic Designed and implemented a seamless integration between Key
University CRM and Telegram to facilitate automatic order creation.
2017 - 2021 Set up FastAPI as the web framework to manage webhook requests,
Bachelor’s degree in Finance and allowing for fast and scalable handling of user messages and
Banking commands.
Implemented user authentication and authorization.
PROJECT EXPERIENCE
CUSTOM INSTAGRAM Github
Team project
Project description: Developed a sophisticated web Web application designed to enable users to share
their photographs, engage in discussions, rate each other's work, and perform various operations on
images. Our platform aims to facilitate communication between photographers and photography
enthusiasts by providing an intuitive interface for interacting with content.
Tools/Technologies: Python, FastAPI, PostgreSQL, Redis, REST API, Docker, SQLAlchemy, HTML, CSS,
JavaScript, JWT, Koyeb, Unittest

The main functions of the service include:
- Photo Uploading: Users can upload their images while adding titles and tags for easy searching and
categorization
- Commenting: Other users can leave comments on photographs, fostering discussions and providing
valuable feedback on creative works.
- Rating System: Users can rate photos, helping to highlight popular works and encourage healthy
competition within the community.
- Filtering and Searching: The platform offers robust filtering options for browsing photos by categories,
ratings, and popularity, making navigation seamless and enjoyable.
- Editing and Deleting: Users can edit their photos and comments as needed or remove them entirely,
ensuring full control over their content.
My Role: As the Team Lead for this project, I was responsible for resolving Git conflicts, managing task
execution, and creating new tasks. Additionally, I developed the rating, tagging, and commenting
systems. This project provided me with invaluable experience in team collaboration and backend
development using FastAPI.

FUNDAMENT Github
Team project
Project description: The FUNDAMENT application is a web service for image classification based on
Convolutional Neural Networks (CNNs) and optimized for working with the CIFAR-10 dataset. The project
allows users to upload images that are classified using pre-trained models, such as VGG16.
Tools/Technologies: Python, Django, TensorFlow, Docker, Aiogram

The main functions of the service include:
- Image Upload for Classification: Users can upload images for classification, which are then processed
by a neural network to determine their category.
- Interaction with Four Pre-trained Neural Networks: Users can choose from four neural network
architectures and adjust the model's confidence threshold between 0 and 1. Depending on this level,
different filters are applied to enhance image detail.
- Uploading and Analyzing Pre-trained Neural Networks: Users can upload a pre-trained neural network,
access information about each network, and view training graphs based on test and validation data.
- Containerization with Docker: The project is fully containerized using Docker, ensuring easy deployment
and integration across different environments.
My Role: My role involved creating the interface for the model, as well as the web and Telegram
components.
Examples of my practical work are available for review in my portfolio