Bartosz Mikulski is a Principal AI and Big Data consultant with 15+ years of experience turning broken AI/ML proofs-of-concept into reliable production systems, routinely diagnosing root causes in hours or days rather than quarters. He’s engineered MLOps platforms and high-throughput pipelines for startups and large-scale services—co-creating Qwak’s core platform, supporting systems that handle billions of events and tens of billions of monthly requests, and stabilizing data infrastructures at Fandom. His strengths lie in production rescue: RAG and hallucination control, robust schema-enforced inference layers, agent orchestration, and deployment strategies (shadow, canary, zero-downtime) that minimize business risk. A prolific educator and author, he’s trained 1,000+ engineers, contributed to O’Reilly, and speaks at major industry events, which reflects his blend of hands-on debugging skill and scalable architecture thinking. An unconventional detail: he often finds the single failing format or parsing assumption that cascades through microservices and fixes it in a day, turning chaotic prototypes into 95%+ accurate, production-grade systems.
8 years of coding experience
13 years of employment as a software developer
Master of Science (M.S.), Data Processing, Master of Science (M.S.), Data Processing at Poznan University of Technology
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Uniwersytet im. Adama Mickiewicza w Poznaniu
Apache Druid: a high performance real-time analytics database.
Contributions:3 releases, 3 reviews, 32 pushes in 1 year 10 months
real-time-analyticsanalyticssqlapachebig-data
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Bartosz Mikulski - Principal AI And Big Data Consultant