Остап

Ostap Bednarchuk
Lviv, Ukraine | [відкрити контакти](див. вище в блоці «контактна інформація») | [відкрити контакти](див. вище в блоці «контактна інформація»)
GitHub | LinkedIn

Professional Summary
Python Developer specializing in backend development, REST API integrations, database-driven applications, and workflow
automation. Hands-on experience developing and deploying Python applications, integrating third-party services, and
implementing automated business processes. Proficient in Python, SQL, SQLAlchemy, Git, and Linux environments, with
additional knowledge of Docker, automated testing, data processing, and computer vision. Focused on writing maintainable
code and building reliable backend solutions.

Education
Ivan Franko National University of Lviv Lviv, Ukraine
Bachelor of Science in Computer Science September 2022 – June 2026

Leipzig University (Universität Leipzig) Leipzig, Germany
Erasmus+ Academic Exchange Program October 2025 – March 2026

SoftServe Dual Education Program Lviv, Ukraine
Team Lead – ElectroCard NFC Project September 2022 – May 2024
• Led a student team in designing an NFC-based hotel access management solution, coordinating project planning,
requirements, and MVP development.
• Defined core application functionality, including secure digital access, user management, and administrative workflows.
• Achieved 1st place in the final project competition after presenting and defending the solution before SoftServe experts.
Project Presentation.

Technical Skills
Programming: Python, SQL, Object-Oriented Programming (OOP), Data Structures, Algorithms, Error Handling
Backend Development: FastAPI, REST APIs, HTTP, JSON, API Integrations, Telegram Bot API
Databases: PostgreSQL, SQLite, SQLAlchemy ORM, Relational Databases, Database Design
Development Tools: Git, GitHub, Docker, Linux, Linux VPS, systemd, CI/CD Fundamentals
AI-Assisted Development: Claude, Gemini, OpenAI Codex, ChatGPT, AI-Assisted Coding, Debugging, Code Refactoring
Testing: Pytest, Unit Testing, API Testing, Playwright, Robot Framework
Data & AI: Pandas, NumPy, OpenCV, U-Net, Scikit-learn, TensorFlow, XGBoost, Computer Vision, Time Series Analysis

Technical Experience
Python Developer – Independent Projects June 2025 – Present

• Developed and deployed Python-based Telegram applications for subscription management, payment processing, access
control, and business workflow automation.
• Integrated Telegram Bot API and WayForPay payment services, implementing transaction handling and automated
subscription lifecycle management.
• Designed database-driven application logic using SQLite and SQLAlchemy ORM to manage users, subscription records,
and payment data.
• Implemented automated workflows for user onboarding, subscription activation, expiration handling, and administrative
operations.
• Deployed and maintained Python applications on Linux VPS environments using systemd, application logging, and
troubleshooting. Used Git for version control and application maintenance.

Technical Projects
SEM Particle Segmentation Lab Python, OpenCV, U-Net, NumPy

• Developed a Python-based desktop application for automated segmentation and quantitative analysis of microparticles in
scanning electron microscopy (SEM) images.
• Implemented image processing algorithms including Otsu thresholding, adaptive thresholding, morphological operations,
and contour detection.
• Integrated a U-Net neural network architecture for semantic segmentation and comparative evaluation against traditional
computer vision approaches.
• Implemented particle measurements, segmentation masks, bounding boxes, size distribution visualizations, and CSV
export.

EMTbitcoin – Bitcoin Price Movement Prediction Python, Scikit-learn, TensorFlow, XGBoost

• Collaborated in a five-member international university team on a machine learning project investigating Bitcoin price
movement prediction.
• Implemented Linear Regression, Logistic Regression, Random Forest, XGBoost, LSTM, and GRU models using historical
Bitcoin market data.
• Engineered time-series features including lagged prices, moving averages, volatility, returns, and temporal indicators.
• Evaluated model performance using MAE, R-squared, Accuracy, F1 Score, and ROC-AUC, with feature importance
analysis and result visualization.

Python Test Automation Python, Pytest, Playwright, REST API

• Developed automated tests using Python and Pytest to validate application functionality and expected behavior.
• Practiced REST API testing, assertions, and browser automation using Playwright and Robot Framework.

Certifications
Automated Testing in Python – EPAM University Programs March 2026 – May 2026

Languages
Ukrainian: Native English: Upper-Intermediate (B2)