Data, AI & technology leadership in iGaming
In short: I help iGaming and technology organizations design data platforms, adopt production-grade agentic AI, and scale engineering culture. I have two decades in tech, including seven years as CTO at STS, one of Poland’s largest sportsbook operators. I advise boards and management on technology strategy, data governance, and AI risk, and run hands-on agentic coding workshops for engineering teams.
About
I am CEO & Co-founder at Gamblitude, where we are building an AI data platform for iGaming that helps operators move from retrospective reporting to proactive, intelligent decision-making in minutes. My background includes 20 years in technology, including 12 years in iGaming and 7 years as CTO at STS, where I led the engineering team (developers, engineers, QAs, DevOps) and data teams (analysts, data engineers, data scientists, AI) at scale. I specialize in data warehousing, big data architectures, cloud-native platforms, systems architecture, and building high-performing technology organizations that deliver measurable business outcomes.
How can I help?
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Non-executive director & board advisory
Serving as a non-executive director on company boards, and advising boards and management on technology strategy, oversight of engineering and data, AI, risk, and building engineering culture at governance level.
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Data warehouse & AI architectures
Designing and implementing robust Big Data and Data Warehouse solutions that effectively scale, enabling insights and enhancing decision-making processes.
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Agentic AI adoption
Helping organizations move from AI experimentation to production-grade agentic AI adoption: selecting the right use cases, designing agent architectures, integrating them with existing data and business systems, and establishing the governance, evaluation, and feedback loops needed to make them reliable, measurable, and trusted by the business.
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Cloud & systems architecture
Planning, executing, and advising on complex cloud migrations and scalable systems architectures that increase reliability, with clear trade-offs between components and data flows, architectural best practices, and cost awareness across the whole stack.
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Engineering culture
Shaping environments where teams ship reliably and learn fast: leadership practices, ways of working, quality and ownership, and aligning engineering norms with business outcomes.
Frequently asked questions
- What non-executive director and board advisory do you offer?
- Serving as a non-executive director on company boards, and advising boards and management on technology strategy, oversight of engineering and data, AI, risk, and building engineering culture at governance level.
- What data warehouse and AI architecture services do you provide?
- Designing and implementing robust Big Data and Data Warehouse solutions that effectively scale, enabling insights and enhancing decision-making processes.
- How do you help with agentic AI adoption?
- Helping organizations move from AI experimentation to production-grade agentic AI adoption: selecting the right use cases, designing agent architectures, integrating them with existing data and business systems, and establishing the governance, evaluation, and feedback loops needed to make them reliable, measurable, and trusted by the business.
- What cloud and systems architecture support is available?
- Planning, executing, and advising on complex cloud migrations and scalable systems architectures that increase reliability, with clear trade-offs between components and data flows, architectural best practices, and cost awareness across the whole stack.
- How can you help improve engineering culture?
- Shaping environments where teams ship reliably and learn fast: leadership practices, ways of working, quality and ownership, and aligning engineering norms with business outcomes.