Олександр

Kornyushin Oleksandr Email: [відкрити контакти](див. вище в блоці «контактна інформація»)

Telegram: [відкрити контакти](див. вище в блоці «контактна інформація»)/@rmcsx

PROFILE SUMMARY
My name is Alexander, im 22. I am from Mykolaiv, Ukraine, and currently based in Romania. I have
experience in media buying, advertising infrastructure, and process automation for scalable digital
operations. I specialize in Google Ads, TikTok Ads, and Facebook Ads, covering the full cycle from account
preparation, warming, and scaling to campaign launch, optimization, and ongoing performance management.


I also have hands-on experience in building account farming processes from scratch, automating repetitive
operations, and improving workflow efficiency. My background includes working with anti-detect tools, proxy
infrastructure, analytics, creative preparation, and operational support for media buying activities. I
combine a technical approach to automation with practical experience in digital marketing, advertising
operations, and scaling performance-driven processes.

EDUCATION LANGUAGES
September, 2021 - June, 2025 | SYSTEM ANALYSIS / Bachelors Degree Ukrainian, Russian - Native
Admiral Makarov National University of Shipbuilding, Ukraine English — Technical proficiency (B1–B2)
System design, database architecture, programming fundamentals, analytical methods.

WORK EXPERIENCE

September, 2024 - July 2025 | Crypto Automation Developer
Worked in a small independent group focused on cryptocurrency farming, testnets, DE-PIN, and large-scale account management
across multiple platforms.

Managed account farming for crypto projects (Sahara Main, Unichain, Monad, Towns, Somnia, 0G, MegaETH, Superchain, Camp
Network, etc.) and social networks (Twitter, Gmail).

Configured and operated AdsPower anti-detect browser (and alternatives like Dolphin) for RPA tasks: cookie farming,
automation, and synchronized multi-window workflows.

Conducted testing and selection of proxies (shared, private, residential) to ensure stability and scalability of
operations.

Created and maintained trust accounts (Gmail, Twitter), linked and secured them for long-term use.

Structured all project data in Google Sheets; managed tasks in ClickUp and Trello.

Scaled the farm through Python automation (custom, open-source, purchased) integrated with Telegram bots for real-time
monitoring of CAPTCHA, proxies, errors, and task completion.

July, 2025 - November, 2025 | Google ADS Farmer
Worked with Octo, Dolphin, Vision.

Account registration (including via auto-registrators).

Account warming.

Passing verifications, handling documents and additional documents.

Working with requisites.

Consolidating all data in Excel/Sheets.
Whenever possible, focused on automating processes of account preparation, data generation, and data uniquification.

November, 2024 - February, 2026 | Google ADS, TikTok ADS Farmer
Was promoted from farmer to assistant inside the company.

November, 2024 - July, 2026 | Facebook Media Buyer Assistant
Setting up and launching advertising campaigns.

Collecting and preparing all required assets for campaign launches,
and communicating with agents.

Research: finding new creatives, generating fresh ideas, and analyzing
the market and competitors.

Monitoring ad rejections, payment issues, and campaign spending.

Daily reporting, updating costs throughout the day, and maintaining
data in spreadsheets.

Part-time projects
I worked concurrently on two part-time projects focused on building Google farming operations from the ground up,
establishing internal workflows, and automating key operational processes. The projects involved creating scalable systems
for account preparation, management, and process optimization, with a strong focus on improving efficiency, reducing manual
workload, and increasing overall team productivity.

The first project was developed within a team of three specialists, while the second involved a team of two members. I was
involved in structuring workflows, identifying automation opportunities, and implementing solutions that allowed the teams
to scale operations effectively. Through the development of standardized processes and continuous optimization, the first
team reached a productivity level of 100 accounts per employee per month within the first two months of operation.