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Work experience

Independent AI Engineer

from 09.2025 to now (1 year)
Self-employed, Дистанційно (IT)

• PDFnik — microservice-based PDF generation and audio transcription system
(FastAPI · RabbitMQ · Redis · Whisper · Docker Compose)
• AFO — multi-agent framework with deterministic execution
(OpenAI / Claude · structured artifacts)

Python Developer

from 08.2023 to 09.2025 (2 years 2 months)
CQR Company, Одеса (IT)

• Integrated and maintained 500+ open-source and commercial CLI security tools — adapted interfaces, ported Python 2to3, structured all output into JSON
• Built Docker multi-stage pipeline — 70-80% image size reduction, 75+ GB disk space saved
• Refactored 50k+ lines of legacy code — eliminated redundant logic, restored structural integrity
• Redesigned a 10k-line single-file tool into maintainable architecture — removed 5k redundant lines
• Performed code review and refactoring across the team's codebase, mentoring junior developers on code quality and best practices
• Set up CI/CD pipelines for commercial security scanning tools
• Researched async task queue solutions: Celery, Dramatiq, Redis, RabbitMQ
• Designed multi-LLM orchestration (OpenAI, Claude, Gemini, Ollama, DeepSeek) for automated vulnerability report generation and agent task routing
• Configured local LLM deployments with custom system prompts for structured JSON extraction from unstructured security tool data
• Explored practical behavior of Gemini, Grok, Claude, DeepSeek and ChatGPT alongside day-to-day development — how each reasons, responds and processes input, to sharpen prompt-engineering technique

Python Automation Engineer

from 04.2021 to 07.2023 (2 years 4 months)
Self-employed, Дистанційно (IT)

• PDF automation pipeline: 60x speedup (4h to 4min), 100+ human hours/month saved — extracted structured data (14+ fields via regex) from customs declarations using pdfminer, mapped into Excel via openpyxl and pandas
• Built macros and bots for task automation using PyAutoGUI and AHK
• Implemented pixel-based object detection and screen recognition with OpenCV and PyTesseract
• Annotated datasets for image segmentation and object detection using AI-assisted tools — manual cropping and pixel-level mask creation with positive and negative point prompts
• Trained local object detection models using YOLOv3, YOLOv5 and YOLOv8 with supervised and transfer learning techniques
• Processed and structured large volumes of image data using NumPy and Pandas
• Used mss for real-time pixel color detection and distance measurement, Pillow for template matching and image search tasks
• Packaged scripts as standalone executables with PyInstaller

Education

Одеський національний політехнічний університет (ОНПУ)

Інститут комп'ютерних систем (ІКС), Автоматизація та комп'ютерно-інтегровані технології, Одеса
Higher, from 2020 to 2024 (4 years)

Additional education and certificates

No additional education or certificates.

Knowledge and skills

• Python
• Docker
• Docker Compose
• Git
• Linux
• Bash
• Async
• Pydantic
• CI/CD
• OpenAI API
• Anthropic API
• Multi-agent orchestration
• RAG
• Prompt engineering
• Ollama
• DeepSeek
• Gemini
• Grok
• Llama
• RabbitMQ
• Redis
• Celery
• Dramatiq
• SAST
• Cybersecurity
• Django
• Flask
• Regex
• SQLite
• Playwright

Language proficiencies

• Ukrainian — fluent
• English — above average

Additional information

Python-розробник з 5+ роками досвіду в автоматизації та AI/LLM-інтеграціях.
Чую бізнес-задачу - одразу бачу де вузьке місце і як його автоматизувати.

Будую рішення на Python і LLM API: агентні системи, пайплайни обробки даних,
інтеграції між сервісами. Один з моїх скриптів прискорив обробку документів
у 60 разів - з 4 годин до 4 хвилин - і зекономив клієнту 100+ годин щомісяця.

У CQR інтегрував 500+ інструментів у production, зменшив обсяг Docker-образів
на 70–80% (75+ GB економії), побудував мульти-LLM оркестрацію на 5 провайдерах.

Зараз живу в Німеччині. Шукаю роль де автоматизація та AI - це основа
продукту, а не бонус.