Yevehnii

YEVHENII MEDUSHIVSKYI
Backend Developer | Python & FastAPI
Košice, Slovakia [открыть контакты](см. выше в блоке «контактная информация») [открыть контакты](см. выше в блоке «контактная информация»)
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Professional Summary
Motivated 3rd-year Computer Networks student with practical experience in Python backend develop-
ment, asynchronous programming, and API integrations. Hands-on expertise with FastAPI, MongoDB,
and REST API development. Proficient in using AI-assisted development tools for efficient problem-
solving and code generation. Ready to contribute to automation, integrations, and backend improvements
while providing technical support.

Technical Skills
Python (async/await), JavaScript, SQL
Programming
FastAPI, REST APIs, HTTP protocols, JSON, Asynchronous Program-
Backend ming
MongoDB (practical experience), PostgreSQL, Database Design
Databases
pytest (entry level), basic test development
Testing
Webhooks, third-party API integration, error handling, retry mecha-
API Integration nisms
Pydantic, type hints (typing), linters, formatters, type checkers
Code Quality
Git, Linux/Debian (3+ years), Chrome DevTools
Tools & Platforms
Basic security principles, authentication, data validation
Security
Prompt Engineering, Context Engineering, AI agents for development,
AI-Assisted Develop- task decomposition for AI assistants
ment

Key Projects & Experience
Distributed Web Crawler & Data Processing Platform 2024 – 2025
Personal Initiative | Backend Development & Automation Designed and implemented scalable backend
platform with automated processing, API integrations, and monitoring capabilities.
• Developed asynchronous REST backend using FastAPI with proper request/response validation
• Implemented MongoDB database layer with schema design and query optimization
• Built automated analytics and metrics collection system
• Created webhook integrations with retry logic and idempotency handling
• Designed logging and debugging infrastructure for issue reproduction and troubleshooting
• Containerized application using Docker for consistent deployment
• Applied Pydantic for strict type validation and data schema enforcement
Technologies: Python, FastAPI, MongoDB, Redis, Docker, Celery, Pydantic, Git, Linux
AI-Assisted Development: Utilized AI assistants throughout the project for code generation,
debugging, and architecture decisions. Developed skills in prompt engineering and breaking down complex
tasks into clear AI-digestible subtasks.
Education
Technical University of Košice (TUKE) 2023 – Present
Bachelor’s Degree in Computer Networks Expected Graduation: 2026
Currently in 3rd year
• Relevant Coursework: Computer Networks, Algorithms & Data Structures, Web Development, Databases,
Operating Systems, Distributed Systems
• Focus on backend systems, API development, and network-based applications
• Strong foundation in software engineering principles and system integration

Professional Development & AI Proficiency
• Experienced in prompt engineering and context management for optimal AI output
• Skilled at decomposing complex technical requirements into clear AI-actionable tasks
• Proficient in debugging and validating AI-generated code
• Continuously learning FastAPI best practices and MongoDB optimization techniques

Languages
Native speaker
Ukrainian
Native speaker
Russian
B1+ – Comfortable with technical documentation and professional com-
English munication
B2 – Fluent in professional Slovak environment
Slovak

Additional Information
• Ready to work with third-party APIs, webhooks, and integration challenges
• Comfortable with log analysis, bug reproduction, and technical support tasks
• Quick learner with strong problem-solving skills and attention to detail
• Eager to contribute to backend improvements, automation, and analytics