.png)
Andrei is an engineering leader specializing in AI-driven software development, AI modernization, and enterprise technology strategy. He works with organizations to transform legacy systems, adopt AI across the software development lifecycle, and build engineering processes that combine AI capabilities with human expertise.
With a strong product mindset and extensive experience leading complex technology initiatives, Andrei shares practical insights on AI-driven development, application modernization, engineering productivity, and building scalable digital products. His articles focus on helping business and technology leaders make informed decisions about adopting AI in enterprise software development.
AI-Driven development workshop
Looking to introduce AI into your software engineering process? Andrei leads TYMIQ's AI-Driven Development Workshop for engineering leaders and product teams that want to adopt AI across the software development lifecycle in a structured and practical way.The workshop is available both for existing TYMIQ customers and for organizations exploring AI-driven engineering.
Book an AI-Driven Development WorkshopClient experiences working with
Andrei Zhukouski
"I had the pleasure of working with Andrei over the years. He has always been convincing with his manner and expertise as the manager of our development team. With his tireless commitment to the team and the project, Andrei was and is a guarantee to overcome any challenge."
"I've been working with Andrei for many years on a compx software available on web, iOS, and Windows . I have been impressed by its technical and organizational skills that brought a lot of value to a team of 20 people. Always positive and constructive despite high pressure and short deadlines, Andrei has performed an outstanding job and his work was key for our software success."
"Bold and structured thinking. Clear communication. Always appreciate working together!"
Expert materials from
Andrei Zhukouski
10 legacy modernization tasks AI can already automate, and 7 it still can't
The biggest modernization bottlenecks often appear long before anyone writes new code. Here's where AI is already changing the process, and where it still needs experienced engineers.
ReadThe shift from AI pilots to AI-ready infrastructure: why early success doesn't guarantee scale
The hardest part of AI adoption often begins after the pilot succeeds.
ReadWhy legacy systems become an AI bottleneck: 7 reasons businesses struggle to scale AI
AI often struggles outside controlled environments. Learn which infrastructure issues quietly slow adoption and scaling.
ReadWhat is AI modernization? Strategy, benefits and roadmap for 2026
Many businesses are ready for AI tools. Fewer are ready for AI at scale. See what modernization changes behind the scenes.
ReadIf you’re choosing between Java and .NET, answer these 7 questions first
The wrong stack choice rarely fails on features. It fails on context. See what actually matters.
ReadThe ultimate toolchain for accelerating .NET migration (What actually works – and what doesn’t)
Migration issues rarely come from code alone. Discover how toolchains impact speed and stability.
ReadGet a free consultation from our experts
Submit this form, and we will find the right way to fulfill your ambitious plan.
Meet more members of the core TYMIQ team
About company
TYMIQ is commited to help mid-size and large companies fulfill complex technical tasks around digitalization and automation of their system and processes. We are proud of our experience in custom software development and trustworthy relationships we build with our clients.
In 2018, 1 October, Kostya Mironovich and Dzmity Tsybulka founded TYMIQ GmbH. By now, TYMIQ has 90+ professionals with 50+ successful projects behind. Most of our customers and partners are from German and Switzerland, and we have the appropriate luggage of technologies and stack to create solutions by specific customer’s requests.
”Over the years, we noticed a clear pattern: most new clients come to TYMIQ because someone they trust recommended us. This shapes how we work. We know recommendations create high expectations — and we build our processes, communication, and engineering culture around consistently meeting them”.




