I design and build AI/ML solutions (LLMs, RAG, recommender systems, scoring) for e‑commerce, SaaS, and media—from the initial concept to a functional prototype and measurable results.
Project-based, remote / hybrid, fixed-fee or T&M.
Understanding your business and data.
1–2 weeks
4–8 weeks
Built and scaled an email marketing platform from concept to production. Owned entire product roadmap, from campaign builder to delivery optimization. Implemented data-driven features including A/B testing and segmentation.
Led product strategy for a global DMP serving major media agencies. Built sophisticated real-time data processing and integration infrastructure. Managed data warehouse optimization and established data quality standards.
Led recommender systems powering Seznam.cz homepage. Directed product strategy, ML model evaluation, and experimentation frameworks. Collaborated with data science teams to optimize quality for millions of users.
16 years leadership. Expert in defining vision, roadmap prioritization, and translating business reqs into specs.
RecSys, predictive analytics, model evaluation. Translating ML capabilities into user-facing features.
Deep knowledge of infrastructure, deliverability, and automation. Designed platforms scaling to millions.
Transforming raw data into insights. Executive dashboards, KPI frameworks, and A/B experimentation.
Karel's ability to bridge data and product strategy was instrumental in scaling our recommender system. He drives decisions with metrics, not opinions.
As a co-founder of Email Machine, Karel demonstrated exceptional product vision and execution. He understood both the technical complexity and the user needs perfectly.
Karel's expertise in data management and analytics transformed how we approached audience insights. His strategic thinking elevated the entire platform.
2025 • INRA @ RecSys Prague (CEUR-WS)
2024 • RecSys Bari (ArXiv)
2020 • ORSUM @ RecSys (CEUR-WS)
Speaker • "How AI meet humans in media houses?"
I've spent 16 years building products that make data work harder for businesses. It started with a simple observation: most companies have data, but few actually use it strategically. This led me to co-found Email Machine, where I learned that understanding both the technical complexity and the user problem is the key to product success.
After five years scaling Email Machine, I joined Seznam.cz as Senior Product Manager for recommender systems—managing products used by millions daily. There, I discovered the power of combining machine learning with thoughtful product strategy.
What I Do Now:
I work at the intersection of product management, data science, and strategic thinking.
Whether
it's defining product vision, scaling ML systems, or analyzing complex datasets, my focus is
always on impact—how does this decision move the needle for users and the business?
