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About me

🇺🇦 🇷🇺 🇺🇸

Building projects since I was 12. At 13 I launched that is still live today. Haven't stopped building since, scaling each one but keeping it tight enough not to sprawl. Based in the mountains, living alone.

Working as a metacoder for over two years now: Codex for long builds, Claude for audits and targeted fixes, Gemini and Claude Design for drafts. Even with that workflow, the architecture and code review still sit on me.

Awards

A short list for now. Most of the time has gone into building.

Selected with $3,400 financial aid at TKS2026
1st of 212, HackSocial (online)2025
6th of 247, PANDA Hacks (online)2025
project-1

Life story

At 12, I started a YouTube channel that grew into a media project, around 100K audience overall. At 13, in 2023, the channel got blocked. A few months later I co-launched with a friend.

In November 2025 the database, 7M accounts, got wiped. I took the whole thing on solo, brought it back, and ended up as the owner. From there I built out the infrastructure and the ecosystem around it, including the . That stretch is where I went deep into AI engineering, though I’d been into it for a while already.

In 2025 I also co-founded with partners on the side. Living on my own since 15. Moved into the mountains a few months ago and set up the workspace I focus everything from now.

current-desk
team-chat

Leading

Half of what I ship is solo. The other half runs with a team.

On the I am the lead, infrastructure, backend, and product direction. On I am co-founder, sharing the build with the rest of the team. Comfortable both ways, leading with people or carrying a large project end to end on my own. Also ran a media project solo at 13 years old. Been working in serious teams since I was 12, so talking to people comes easy.

tks-acceptance

Education

3.9 GPA, English at B2. Secondary school done online, two grades by extern.

Filling the gaps with Coursera on the side. Picked up by selective programs like TKS this year, with research planned next.

Mostly I just like learning on my own. Going deep into topics, running short sprints to see if something clicks. For example, did one machine-learning project that way recently.

Watching

Favorite movies and series watched recently.

Person of Interest
10/10
Person of Interest
series · 2011
Tron: Ares
9/10
Tron: Ares
film · 2025
Her
8/10
Her
film · 2013
Upgrade
8/10
Upgrade
film · 2018
The Matrix
10/10
The Matrix
film · 1999
Transcendence
8/10
Transcendence
film · 2014
Ex Machina
9/10
Ex Machina
film · 2014