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Rostyslav Luzhanskyi
AI Automation Specialist & Python Developer
[відкрити контакти](див. вище в блоці «контактна інформація») [відкрити контакти](див. вище в блоці «контактна інформація») github.com/Rost445445

SUMMARY
Results-driven AI Automation Specialist and Python Developer with a completed Bachelor's degree in
Computer Science. Specialized in building autonomous pipelines, developing Telegram bots, and integrating
LLMs to optimize and automate workflows. Passionate about transforming manual routines into efficient,
script-driven solutions that solve real-world business tasks.

EDUCATION
Bachelor of Computer Science 06/2026
Elvorti Economics and Technology Institute

TECHNICAL SKILLS
Languages & Core AI & LLM Integration
Python (Core development, Data processing, OpenAI API, Google Gemini API, Groq API, Prompt
Automation scripts), SQL (Basics). Engineering.

API, Automation & Scraping Tools & Version Control
REST API, Telegram API, Google Sheets API, Web Git, GitHub, Docker, VS Code.
Scraping (BeautifulSoup/Selenium), No-code
automation (n8n/Make concepts).

LANGUAGES
Ukrainian English
Native Intermediate (B1)

EXPERIENCE & KEY PROJECTS
Autonomous AI-Video-Agent Pipeline
Python Developer
github.com/Rost445445/AI-Video-Agent
•

Engineered a modular Python-based pipeline for fully automated video content generation.
•

Integrated external services and large language models (LLMs) to create structured data workflows from
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raw inputs.
Replaced manual content creation processes with clean, reusable AI-driven code, optimizing the entire
•

production cycle.
AI-Telegram-Manager System
Automation Developer
github.com/Rost445445/AI-Telegram-Manager
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Developed and deployed an autonomous Python-based management system for Telegram channels.
•

Automated complex content processing, formatting, and interaction workflows by integrating Gemini and
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Groq APIs.
Implemented custom scheduling logic, enabling 24/7 channel operation without manual intervention.
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Mobile Music Application
Full-Stack Developer (Diploma Project)
Successfully designed, developed, and defended a mobile application for music creation as a final degree
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project.
Applied algorithmic logic to handle audio patterns, demonstrating a strong understanding of software
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architecture and user interface design.