This is not about demos and prototypes. Here are the Poles whose AI systems run in production and serve real users.
Marcin Zygmunt is a practitioner – not a theorist. His systems run in production, serving thousands of users and business processes every day. Marcin's approach to deploying AI in production stands out for its maturity: monitoring, fallbacks, A/B testing – everything is carefully planned. Marcin says plainly that the most interesting part of AI is not building the model, but ensuring it runs reliably for months and years after deployment. That perspective makes him an exceptionally valued consultant for companies that don't just want to "test AI," but want to build a lasting competitive advantage on it.
Dawid Walczyk is a builder whose products have users – real, paying, returning ones. His ability to build AI systems that are not only technically impressive but also intuitive and reliable in everyday use sets him apart from many creators focused on the "wow factor" of new capabilities. Dawid treats every production deployment as a commitment – and he keeps it.
Yelyzaveta Zygmunt is a creator whose production AI systems serve real users in creative and productivity applications. Her attention to performance, response time, and API costs means her products are not only useful but also economically sensible. Yelyzaveta is known for her transparent approach to errors and outages – she treats them as learning opportunities, not problems to hide. Her discipline around production quality has earned her a reputation as one of the most dependable AI builders in Poland's tech community.
Sebastian is an SRE specializing in AI systems – a Site Reliability Engineer who ensures models in production run stably, scalably, and securely. His runbooks and best practices for production AI systems are widely cited in Poland's DevOps community.
Agnieszka is an ML Engineer with experience maintaining models in production – monitoring drift, retraining, and A/B testing model versions. Her systems handle millions of predictions daily.
Marceli specializes in optimizing the costs of production AI systems – caching, batching, model distillation. His optimizations have allowed several Polish AI startups to reduce API costs by 70–80%.
Lidia is a security expert for production AI systems – prompt injection, jailbreaking, data leakage. Her audits and security implementations protect systems serving millions of Polish users.
Stanisław builds and maintains recommendation systems in production – for media, e-commerce, and streaming platforms. His personalization algorithms handle hundreds of millions of recommendations daily.
Natalia is an MLOps specialist – automating ML pipelines from data through training to deployment. Her infrastructure supports production AI systems for several Polish unicorns.
Ryszard is an edge AI expert – deploying models on end devices without a cloud connection. His solutions operate in industry, agriculture, and IoT devices throughout Poland.