About Me
Thanks for stopping by! 👋
Here is a chronological order of chapters of my life :)
01 — Uni years
At sixteen I left Kyiv for Lviv to study Computer Science at the Ukrainian Catholic University. I treated those four years like a launch pad—organizing a hackathon, building a “Magic Mirror,” and a VR “Mind Palace.” My rule was simple: if an opportunity looked scary but interesting, say “why not?”
02 — Finding the Door
A Slack post about Google Inside Look changed my orbit. I applied, showed my scrappy student projects in the interview, and flew to London. Two days of tech talks and hallway chats made Google feel human—and possible.
03 — First Internships
STEP in Warsaw came next: pairing on an internal monitoring tool used daily by thousands of engineers, running user interviews, and shipping more than the spec asked for. I returned the following summer for a Software Engineering Internship—more independence, harder problems, better questions.
04 — Software Engineer @Google, London
Back in London with AdSense AutoAds, I worked on making the same results possible with less data, and later led a backend migration that removed 15,000 lines of legacy complexity with a new pipeline and proper monitoring. Between commits: shared flats, road trips, Talks at Google—proof you don’t have to give up your life to do work you love.
05 — Crossing the Atlantic
I moved to the U.S. with the same “why not?” energy—new teams, new context, same bias for building, learning fast, and shipping.
06 — From SWE to Product
Somewhere between design docs and customer insights, I realized I cared as much about “what” and “why” as “how.” I shifted into Product: discovery, roadmaps, metrics, pricing, and the unglamorous glue work that keeps teams moving in one direction.
07 — Red Bull: Gen AI Product Manager
At Red Bull I led AI products used by 70,000+ people across 40+ countries—including an agent that collected founder info and spun up VC-ready pitch drafts. I reduced iteration cycles by 4× with evaluation frameworks, optimized token usage and pricing, and learned to translate “model magic” into everyday utility.
08 — Now
I’m an AI-minded PM with an engineer’s spine. I advise early-stage startups, help teams move from insight to shipped, and keep chasing the next “why not?”—the small bet that turns into the next chapter.