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Contact information

Email: [открыть контакты](см. выше в блоке «контактная информация»)

GitHub: github.com/YuriyHrechka
Yurii Hrechka
Python Developer / Data / AI Integrations

Professional
Summary AI/Python Engineer with a focus on building production-ready generative AI pipelines,
workflow automation, and scalable backend systems. Proven experience in orchestrating
multi-model LLM workflows, developing automated media generation systems, and
managing complex data integration pipelines. Strong background in Python, backend
architecture, and prompt engineering.

Summary of Programming Languages: Python, C++.
Qualifications AI & LLM Integration: LLM API Orchestration, Gemini API, OpenAI API, Prompt
Engineering, Structured Output, RAG, AI Agent Workflow Design.
Backend Frameworks: Django, Django REST Framework, FastAPI, Aiogram.
Web Automation & Scraping: Requests, BeautifulSoup, Playwright, curl_cffi.
Databases: PostgreSQL, SQLAlchemy, SQLite, Redis.
Media Processing: MoviePy, HTML-to-Image rendering.
Tools & DevOps: Docker, Docker Compose, Git, PostgreSQL Backup tools.

Skills
Hard Competencies:

● Core Python: Solid understanding of OOP principles, design
patterns, and asynchronous programming (asyncio).
● Web Development: Building RESTful APIs with DRF and
FastAPI; basic knowledge of HTML5, CSS3, and JavaScript.
● Data Engineering & Automation: Built and maintained
asynchronous scraping workflows and data pipelines using
Redis; developing scrapers with Playwright; data extracting and
cleaning.
● Data Management: Relational database design with
PostgreSQL; query optimization, migrations, and complex
queries.
● Deployment: Containerization of multi-service applications
using Docker Compose.

Soft Competencies:

● Strong task ownership and ability to deliver results under tight
deadlines.
● Fast learner with a strong desire to master new technologies.
● Excellent time management and organizational abilities.
Experience / IT Dataforest | Python Developer (Commercial Experience)
related educational February 2026 – June 2026
practice
● Built and maintained sequential data processing pipelines using Redis task
queues under strict deadlines.
● Extracted, cleaned, and processed structured data using Python and Pandas.
● Conducted benchmarking and identified performance bottlenecks in internal
libraries.
● Analyzed and optimized PostgreSQL query execution times.
● Collaborated effectively with the Tech Lead and PM via Jira.

Key AI Projects | AI Shorts Generator - Automated Viral Video Pipeline

● Orchestration Architecture: Built a production-grade pipeline connecting Gemini
API, Whisper, ElevenLabs, and Edge-TTS.
● Media Generation: Engineered a dynamic rendering engine that synthesizes UI
elements into video format using MoviePy and html2image, ensuring style
consistency.
● System Reliability: Implemented a Strategy Pattern for video style management
and Composable Prompt Architecture for LLM orchestration to ensure stable
results.
● Automation: Developed custom crawlers using curl_cffi to bypass bot protection
and WAF, integrated with Database for history tracking and deduplication.

Independent Practice & Projects

● Built RESTful APIs using Django and DRF, implemented JWT authentication and
designed database schemas.
● Created Telegram bots using Aiogram and containerized applications using
Docker.

Languages English proficiency: Intermediate+ (B2)
Ukrainian: Native

Education Ternopil Ivan Puluj National Technical University
2023 - Present

Additional education Prometheus course “Git для розподіленої розробки програмного забезпечення”
(courses, trainings) Completed independent courses on Django and Django REST Framework (DRF), FastAPI,
IT-Creator HTML, CSS, JavaScript basics course

Hobbies Books, Gym, Listening to music.

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