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Олександр

Python developer

Considering positions:
Python developer, AI-розробник
Age:
37 years
City of residence:
Kharkiv
Ready to work:
Remote

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ALEXANDER POPOV
Python Developer

[open contact info](look above in the "contact info" section) WORK EXPERIENCE
[open contact info](look above in the "contact info" section) Nov 2023 - Jan 2026
“DataOx” Scraping. Automation | Ukraine
Ukraine, Kharkiv
Python Developer
LinkedIn For over 2 years, I worked as a Python Developer at DataOx, contributing to
the development of more than 35 projects focused on web and mobile
GitHub scraping, process automation, and data collection. Approximately half of
these projects were implemented by me independently, covering the full
development lifecycle — from architecture design to deployment and
SKILLS production support.

BACKEND: I developed and maintained web scraping systems using Playwright and
Django & DRF, Celery, BeautifulSoup, worked with mobile traffic, and performed request reverse
SQLAlchemy, Alembic, engineering using Frida. I handled bypassing anti-bot protections, captchas,
Tortoise, Aerich. and various platform limitations using Multilogin, CapMonster, and
2Captcha.

SCRAPING:
I integrated external APIs and services (OpenAI API, Google Cloud, Airtable
Playwright, Multilogin, NST Browser
API) and worked on image processing and text recognition using OpenCV
BeautifulSoup, Parsel, and Tesseract.
CapMonster, 2captcha,
Frida, Burp Suite, Postman. I was responsible for deploying and ensuring the stable operation of
production services using Docker Compose and Ubuntu-based server
environments.
DATABASES:
PostgreSQL, Redis.
Mar 2022 - Nov 2023
DEVOPS: “Turbota” Web application, Telegram Bots | Ukraine
Linux, Docker, Nginx. Python Developer
Developed a Telegram-based appointment booking system for beauty
OTHERS: salons from scratch, independently covering the full development lifecycle
— from architecture to deployment.
Tesseract, Open CV,
OpenAI API, Airtable API,
The system included two Telegram bots (for clients and masters) and a web
Aiogram, PyQt6, Google Cloud. application for administrators.

The client bot handled service selection, scheduling, and master selection.
The master bot managed work schedules, services, pricing, and real-time

LANGUAGE appointment notifications.

The web app was built on Django REST Framework with a React frontend.
English A2

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