Arkadiusz Jachnik is a Data Architecture Manager with over a decade of hands-on experience designing and delivering large-scale data platforms across AWS, Azure and GCP. He blends technical leadership, solution architecture and people management to migrate and optimize data pipelines, build ML platforms, and enforce metadata-driven governance in regulated environments. His track record includes cutting processing costs and latencies for pharmaceutical pipelines, creating secure data-mesh and watchlist screening systems, and productionizing fraud- and vaccine-related ML workloads. Comfortable in polyglot stacks (Scala, Python, Java, SQL) and orchestration technologies from Spark and Kubernetes to Databricks/BigQuery/Fabric, he focuses on performance, observability and fine-grained access controls. With a PhD-level research background in ML and years of academic research experience, he brings both rigorous experimentation and pragmatic delivery to enterprise data problems. Based in Poznań, he pairs deep technical craft with cross-border team leadership and a consistent record of turning complex data science prototypes into reliable production services.
13 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Poznan University of Technology
Probabilistic Classifier Chains (PCC) algorithm solving the problem of Multi-Label Classification. For more information see: Krzysztof Dembczyński, Weiwei Cheng, Eyke Hüllermeier, Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains. ICML 2010: 279-286
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