Adrian Pekar
Senior Data Scientist
Budapest, Hungary
Summary
🤩
Rockstar🎓
Top SchoolAdrian Pekar is a Senior Data Scientist and research-trained engineer with nine years of experience bridging academia and industry across Europe and New Zealand. He blends deep expertise in machine learning, network measurement, virtualisation and data-centre automation with proven leadership in R&D and team management, regularly translating complex technical ideas for non-technical stakeholders. His work spans applied research—postdoctoral and professorial roles at Victoria University and Budapest University of Technology—and production ML at CUJO AI®, delivering measurable operational gains such as dramatic VM provisioning speed-ups and data reduction methods for network flows. Adrian’s publications and technical projects emphasize practical solutions: anomaly detection, flow compression via auto-encoders, and adaptive aggregation that reduced IPFIX records by 28%. Comfortable working autonomously or leading teams, he brings a rare combination of hands-on systems engineering and rigorous academic methodology.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Technical University of Kosice, Slovak Republic
Slovak, Hungarian, English, German, Czech
Github Skills (31)
dataset-generation10
ndpi10
dpi10
cybersecurity10
packet10
traffic-analysis10
network10
network-analysis9
pcap9
network-monitoring9
data-mining9
netflow9
packet-capture9
network-security9
network-traffic8
Programming languages (4)
Github contributions (5)
drnpkr/flowRecorder
Aug 2018 - Jan 2019
flowRecorder - a network traffic flow feature measurement tool
Contributions:1 release, 40 commits, 6 PRs in 5 months
network-trafficnetwork-monitoringflow-featuresip-flowtraffic-classification
cnl-monica/mybeem
Nov 2018 - Dec 2018
Contributions:28 pushes, 1 branch in 15 days
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