Twenty-two years building systems from Central Asia to the world.

I founded iBEC Systems in 2004 and grew it into a company building systems for banks, retailers, developers and cities — starting in Central Asia and expanding far beyond it. Now I'm in the Bay Area studying AI at Northeastern University, learning, meeting people and understanding what comes next.

Bay Area, California
Northeastern University — MS in Artificial Intelligence

Sayat Uvazhanov

What I've built

iBEC Systems, 2004–present

  • 100+engineers on the team
  • 500+projects delivered
  • 300+clients
  • 5M+people using our platforms
  • 5countries

Retail network · five countries

Samsung RMS 3.0

samsung.com

A machine-learning retail management system running 2,000 stores across five countries, with 500+ merchandisers in the field feeding it data every day. It processes 500,000+ transactions a day, builds their store routes, and turns what they collect into reports in real time.

  • 2,000stores covered
  • 500,000+transactions a day
  • 500+merchandisers in the field
  • 5countries

Banking · financial services

Halyk Bank

halykbank.kz

Five years as a technology partner to the largest bank in the country, building fintech products across its ecosystem: the superapp and the services inside it, Kino.kz, travel and insurance platforms.

  • 5 yearsas technology partner
  • Largestbank in the country

Construction · property development

BI Group

bi.group

Five years as technology partner to the largest developer in Kazakhstan: the platform running building services across 300 residential complexes, with resident response time down from four hours to one; their sales CRM and customer superapp; and the website that moved apartment sales fully online during the pandemic.

  • 5 yearsas technology partner
  • 300residential complexes
  • 4h → 1hresident response time

Industrial production · AI quality control

Concrete production ERP

The full production cycle of seven plants in one system, from customer orders to dispatch. The AI layer on top flags defects before they reach the customer and catches theft; defect rates are down 20–30%.

  • 7plants in one system
  • 20–30%lower defect rate

Critical infrastructure

National voting platform

Interview, Azattyq Ruhy, 2020

Two million votes in three days. Every vote signed with a digital ID and traceable end to end, on a high-load architecture with hot failover between data centres in different parts of the country.

  • 2Mvotes cast
  • 3days
  • 2data centres, hot failover

Urban transport · Almaty

ONAY!

onay.kz

Fare payments across every form of public transport in Almaty, grown into a superapp with balance, transfers and purchases inside it.

  • 300,000+active users
  • Top 10downloads in Kazakhstan

What I'm doing now

I spent twenty-two years building iBEC Systems into a company that no longer needs me in the room — which is the only real test of whether you built something. It runs on its own leadership team today. I'm still the founder, still on the board, still in the strategic decisions; I'm just not in the daily ones. That freed me to do the thing I kept postponing: go deep on AI, properly, as a full-time master's student at Northeastern.

Most of what I know came from the unglamorous parts of those twenty-two years: hiring and losing people, closing enterprise deals, surviving cash gaps, shipping systems that thousands of people depend on every morning.

In 2022 I trained as an executive coach and certified with the Institute of Metacognitive Programming in Toronto. Since then I've worked with founders and leadership teams on how they think under pressure, which turned out to be the same problem I had been living, seen from the other side.

And the AI systems we put into production over the last few years are what pushed me back into a classroom. I wanted to properly understand the thing we were already shipping.

The iBEC Systems team standing together in the company office, under the iBEC Systems sign on the wall

I'm useful when…

  • you're building and running an engineering team, and need to know what it actually takes to get a product from first discovery to launch.
  • an AI prototype has to become a production system — where the model is often the easy part and the data, integration and people around it are not.
  • enterprise software has to work for banks, government, retail or construction — the long sales cycles, the politics, the messy integrations nobody writes about.
  • someone needs context about Central Asia — how the market works, who's who, and what isn't in the reports.
  • a founder needs an experienced sounding board. I've been in the chair for twenty-two years and I'm hard to shock.
  • a community or an event has to be built from nothing — design meetups with international speakers, international 3x3 basketball tournaments, 3,000+ attendees in total.

If one of these is the problem you're actually in right now — that's the conversation worth having.

Beyond the company

Outside software, I've spent years building communities and events too.

Communities

Recognition

If you're building something complicated, write to me.

And if you know the Bay Area unusually well, I'd value that conversation too.

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