Kateryna has spent 12 years at the intersection of AI and business: from building ML models as an engineer to leading enterprise-wide AI transformations.
55+
Her team has delivered 55+ AI initiatives across the US, Europe, and UK, spanning healthcare, fuel retail, pharma, and media. She’s scaled AI/ML departments to 55+ engineers. She built AI/ML departments from scratch, scaling teams to 55+ engineers.
4+ years
With over 4 years of experience as a Fractional Head of AI, Kateryna embeds directly into your leadership team to define AI strategy, build roadmaps, and oversee execution. This gives companies senior AI leadership without the overhead of a full-time C-suite hire
1600+
She has trained 1600+ professionals through workshops at L’Oréal, BNP Paribas, and OKKO Group.
She has trained 600+ professionals, advised L’Oréal, BNP Paribas, and OKKO Group and shared insights at Data Science Festival (London) and DMEA (Berlin).
and shared insights at Data Science Festival (London) and DMEA (Berlin).
A high-level dialogue with experts from Amazon, BCG, and Charité. We dissect the roadmap for transforming AI pilots into sustainable business impact.
AI Forbes Summit
Lviv, 2025
AI in Business: From Zero to Systemic Integration
A step-by-step blueprint for successful adoption. We showcase a real-world roadmap based on our full-scale AI transformation for OKKO, Ukraine’s largest oil & gas retailer.
Data Science Festival
London, 2024
Navigating the AI Revolution: A Blueprint for Business Success
An AI expert with over 12 years of experience transforming how companies use technology.
Perspektywy Women in Tech
Warsaw, 2024
Generative AI Use Cases for Business
A deep dive into leveraging Generative AI for competitive advantage. We move beyond the basics to explore actionable use cases that streamline operations, spark innovation, and drive sustainable business success.
TrustCon
San Francisco, 2023
Generative AI for Trust & Safety
Leveraging LLMs for robust content moderation. We discuss how to build reliable classification pipelines to accurately detect harmful content.
Data Science Conference
Kyiv, 2019
The Lifecycle of Creating a Real AI-Based Product
A comprehensive look at the end-to-end AI product journey. We explore the critical stages from concept and data strategy to deployment and maintenance for building robust production-ready solutions.
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How We Work
Structured AI engagements focused on measurable business impact.