Olena Hrytsenko
Curriculum Lead
Designs the session structure and works with instructors to keep content grounded in current practice.
About Drimlask
Who builds this platform
A small team in Vinnytsia that got tired of watching talented people in smaller cities miss out on serious AI and data education — so we built the thing we wished existed.
WHERE this started
Context. Drimlask came out of a straightforward frustration. Quality AI and data science instruction was clustering around a handful of big cities, and everyone else was left with generic video courses that skipped the hard parts.
Approach. Starting in 2018, we built a platform specifically for live masterclasses — sessions where practitioners walk through real datasets, explain actual decisions, and answer questions that don't have clean answers.
Geography shouldn't determine whether someone gets access to a working data scientist who can show them how gradient boosting actually behaves on messy real-world data. That's the one idea everything here is built around.
6
years running live masterclasses
14
cities actively participating
38
practitioners taught here
HOW the sessions work
Format. Each masterclass runs as a focused session — typically two to three hours — built around a specific technique or problem type. No broad surveys, no introductory fluff if you're past that stage.
Instructors. Every person who teaches here is working in the field right now. They bring current problems, current tools, and the kind of judgment that only comes from shipping actual models.
Participants join from across Ukraine using whatever device they have. The platform is built to handle variable connections without degrading the session — that was a non-negotiable requirement from the start.
PEOPLE behind the sessions
Taras Bilenko
Lead Instructor — ML
Spent eight years building recommendation systems before joining Drimlask. Runs the most technically demanding sessions on the platform.
Daryna Kovalchuk
Data Engineering
Covers pipeline architecture and the infrastructure decisions that most courses skip entirely. Direct and opinionated in the best way.
Bohdan Savchuk
Platform Operations
Keeps the technical side running so sessions start on time and participants from Kherson to Lviv get the same experience.
WHAT we actually stand for
Practical over theoretical
Every session uses real data and real tools. Participants leave with something they can run on their own machine, not just slides to review later.
Accessible across geography
Distance from a major tech hub shouldn't limit what someone can learn. The platform was built specifically to close that gap within Ukraine.
Taught by working practitioners
No one teaches here from theory alone. Instructors bring problems they encountered last month, not case studies from five years ago.
Honest about complexity
AI and data science are genuinely hard. Sessions don't paper over that — they show where things break and what experienced practitioners do when they do.
14
cities connected in the last programme cycle