Summary
Jan Kadlec is a senior software engineer with 15 years of experience building high-throughput backend systems for startups, consultancies, and large enterprises. Currently at Bloomberg after five years at Splunk, he has designed and operated petabyte-scale tracing storage and real-time data pipelines using technologies like Presto/Trino, Druid, Kafka, and Iceberg. His background spans networks, NLP, and speech recognition—having led development of SaaS NLP products and built ML pipelines for compliance at Deloitte—so he bridges low-level performance tuning (C, RCU, DNS work) with cloud-native data engineering (Java/Scala/Python, Kubernetes, AWS). Based in Boulder, he combines hands-on engineering with mentoring experience and a history of shipping systems from first principles up to production scale. An uncommon strength is his cross-domain fluency: from kernel-style optimizations in DNS to applied ML and observability at scale.
15 years of coding experience
14 years of employment as a software developer
Data Science - Erasmus, Data Science - Erasmus at Aalborg University
Master’s Degree parallel and distributed computing computer networks, Master’s Degree parallel and distributed computing computer networks at Czech Technical University in Prague
Bachelor's degree Information Technology, Bachelor's degree Information Technology at Brno University of Technology
English, German, Czech