AI Founder · 18 · Masdar City, Abu Dhabi · MBZUAI

GEORGII SIBIKGeorgii SibikClick here

Building at the frontier of AI & data —
from olympiad stages to production systems
with 15M+ daily users.

I heard VCs love…

…four kinds of founder. Turns out I'm all four.

Every box the smart money checks before they write — top school, olympiad pedigree, real shipping experience, and raw upside. Here's where I land on each.

Top-tier school 01
$180K
full scholarship · MBZUAI · Top-10 in AI (CSRankings)

Bombed the Russian-language state exam — 57/100 — and missed the federal grant. Then got into MBZUAI (Abu Dhabi) — ranked Top-10 in the world for AI on CSRankings — on a $180K scholarship anyway.

Olympiad winners 02
99th
percentile · National AI Olympiad

Top 99th percentile at the National AI Olympiad, and #1 across all-Russian case championships — competing while shipping product full-time.

Real experience 03
6M
users · Upmetric Ads

Worked in bigtech while still going to school. Built the only system of its kind in the CIS — no playbook, no examples to copy — now serving 6M users (Upmetric Ads).

Young & ambitious 04
18
years old · and just getting started

From translating comics on a platform to becoming its tech partner. Won national olympiads and shipped $200K+ of tech projects for top Russian companies. The ex-Executive Director of Sber AI — Russia's largest bank & tech group (~$45B annual revenue) — made me his partner.

Short CV(1 MIN READ)

Boarding pass · Now boarding GS-018 · NOJ → AUH
Georgii Sibik
Passenger · AI-native builder · Product / ML
Now boarding — 18-year-old AI founder shipping enterprise data products before university.
From · NOJ Noyabrsk YaNAO · small northern city
To · AUH Abu Dhabi Startup · $440K valuation

I'm 18, from Noyabrsk — a small city in the north of Russia (YaNAO). Grew up in an ordinary public school where almost nobody was doing olympiads or building products. I ended up doing both, hard.

In 9th grade I translated manga part-time and made ~$1,000/month — my first real product/income loop. Won regional olympiads and the MIPT international student conference, out of a school nobody expected to send anyone there.

From there I went all-in on AI & product — founded Feedly (Yandex AI Lab resident, $43K @ $440K, 1M+ reviews), led RecSys at Remanga (15M+ users) and AdTech at VK (~6M receipts/mo), while staying in national AI olympiads & cases (T1 GenAI #32, Deadline Top 1%).

01
Feedlybuilding now
AI experience analytics platform for e-commerce and offline retail. Raised $43K, reached $440K valuation, processed 1M+ reviews, Yandex AI Lab resident.
02
Espadaequity partner · now
Youngest equity partner & product lead at Espada — enterprise AI/data systems for major clients. $150K+ in delivered contract value.
03
Remangarecommendation systems
As Team Lead, owned end-to-end the production-grade recommendation systems for a content platform with 15M+ unique users.
04
Upmetric / VKPM · Product Lead
PM & Team Lead at Upmetric/VK for receipt-ad recommendation systems (~6M receipts/month).
05
National AI & caseswhile building
T1 GenAI finalist ranked #32 nationally, Deadline Case Championship Top 1%, Data Analysis Olympiad finalist and hackathon winner.
What · The · Crazy · Year · Was · This · Week
Passenger portrait GS-018
Georgii Sibik portrait
AI-native · 18 · Abu Dhabi
Geo
AI-native builder · Product & ML
Links to me
Users15M+
Reviews1M+
Valuation$440K
Raised$43K+
Nat. AI Olympiad99th pct
9th-grade hustle~$1K/mo
Book a call 15-min intro · calendly.com/geosibik

Long CV(4 MIN READ)

June 2025 — Present
// Building Feedly before university

Founder & CEO

Feedly.tech / Geo.feedly.tech

Experience analytics platform with AI-powered review responses, combining pricing and behavioral data for e-commerce and offline retail.

$43K raised
Early-stage funding
$440K valuation
Pre-seed valuation
1M+ reviews
Processed across platforms
4+ team
ML, backend, product & client dev
Resident
Yandex AI Startup Lab
Feedly Geo product running on a MacBook — geospatial review analytics dashboard

Customer Intelligence

Analyze reviews and mentions to uncover sentiment, trends, and customer drivers.

Geo Analytics

Map reviews and demand signals to identify high-potential FMCG locations.

Enterprise Use Cases

Actionable insights for FMCG, retail, and multi-location operations.

Explore Feedly Tech
Aug 2025 — Oct 2025
// AdTech case study

Product Manager & Team Lead — Receipt Ads

Mail Group (VK) + Upmetric

Led a 3-person ML/product team building ad recommendation systems for electronic receipts. Owned product roadmap, team coordination, and stakeholder communication. Built receipt ads from scratch → 6M+ impressions/mo — while still in school, preparing for exams.

6M+ receipts
processed per month
3-person team
ML / product / engineering
AdTech
receipt-native ad placement
ML targeting
purchase-based segmentation
AI Match
Context + intent powered matching
Retail media placement
Native banner on receipt
CTR 2%+
Average performance
RECEIPT
#7348-19-8821
Aug 25, 2025 · 12:34
  • Bananas$1.29
  • Greek Yogurt$2.49
  • Whole Milk$2.79
  • Chicken Breast$6.49
  • Oat Granola$3.49
  • Avocado$1.79
Total$18.34
Recommended for you
Good choices,
everyday.
Up to 20% off
Shop now
Payment•••• 4821
Thank you!
See you next time.
Purchase history
Derived from past receipts — used to personalize each placement
Glow
naturally.

15% off skin care essentials

Shop now

Ad Recommendations

Matched banners and offers to receipt context and user purchase history.

ML Targeting

Used transactional and behavioral signals to select relevant retail media placements.

Product Delivery

Owned roadmap, task allocation, and stakeholder communication across ML and product.

Explore Upmetric Ads
Aug 2025 — Present

Team Lead — Recommendation Systems

Remanga.org

Led the development of a production-grade recommendation system for Remanga.org, a content platform with 15M+ unique monthly users. Owned the recommender stack end-to-end — from data pipelines and ranking logic to infrastructure, experimentation, and production rollout.

15M+
unique users / month
Production
recommender
End-to-end
ML ownership

Example of personalized manga recommendations

Live recommendation experience shown to users on Remanga.org.

Recommended for you

User Signals

Reading history, clicks, engagement, favorites, time spent, and more.

Ranking System

Personalized ranking models, real-time scoring, and re-ranking.

Production Delivery

Deployed at scale with monitoring, experimentation, and A/B testing.

Oct 2025
— Feb 2026
Product Lead & Equity Partner — Enterprise AI Implementation
Espada.ru
Youngest equity partner and product lead at Espada, an enterprise AI/ML implementation company building industrial AI systems with measurable business impact. Delivered $150K+ in AI/data contract value and contributed to ML, analytics, and automation projects for major companies including Borjomi and Chernogolovka.
$150K+
AI/data value I personally delivered
$2.5M+
firm lifetime AI solutions · company-wide
300+
companies trust the firm · company-wide
Product Lead
enterprise AI direction
01
Deadline Case Championship — 3rd Place
by MOEX, Avito, T-Bank · March 2025
Top 1% / 10K
02
Data Analysis National Olympiad Hackathon — Winner
3rd place among 30 teams · March 2025
Winner
03
XXIV Intl. Conference "Start to Innovate" — 2nd Place
~10,000 participants · 15 countries · May 2024
2nd / 10K
04
National Data Analysis Olympiad — Finalist
Top 319 of 3,478 participants · 16 countries
Top 9.17%
05
T1 GenAI National AI Olympiad — Finalist
Ranked 32 of ~3,000 students nationwide
Rank #32
Mohamed bin Zayed University of Artificial Intelligence
Bachelor of Science — AI Engineering
2026 – 2030 · Masdar City, Abu Dhabi
School No. 94
Secondary education
Sept 2018 – June 2025
GPA 4.93 / 5.0
Yandex Lyceum
CS & Python Program · Data Analytics
2021–2023 · 2024–2025
Deep Learning School, MIPT
Intro to ML & DL · Computer Vision
May 2025
Sirius Educational Center
AI Program — selected for gifted students
December 2024
// Hobbies

Strategy, Focus & Energy

ChessValorantGym

Outside of building products, I enjoy competitive chess, tactical FPS games, and strength training — hobbies that sharpen strategic thinking, teamwork, and discipline.

Chess

Strategic thinking & long-term planning

Valorant

Fast decisions, teamwork & focus

Gym

Discipline, consistency & resilience

Chess king, Valorant agent and dumbbell — 3D illustration of strategy, focus and energy

Chess

Pattern recognition

Valorant

Team tactics

Gym

Consistency

BUILD WHAT'S MISSING
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