Michael Kallitsis
Performance Engineer, Networking Data Scientist
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolMichael Kallitsis is a performance engineer and networking data scientist with a decade of experience applying optimization, machine learning, and statistical methods to complex systems such as large-scale IP networks, smart power grids, and biological networks. Currently at Akamai after leading research at Merit Network, he combines hands-on software skills (C/C++, Java, Python, Matlab) with deep expertise in longitudinal network measurement, anomaly detection, and resource allocation. He has a strong academic pedigree (PhD and postdoctoral training) and a record of NSF and DHS–funded research and cross-disciplinary collaboration with statistics and EECS faculty. Beyond applied research, he has taught data communications and scientific Python, and his background shows a rare blend of production testing experience (IBM, Ericsson) and theory-driven network science.
10 years of coding experience
12 years of employment as a software developer
Postdoctoral training, Statistics, Postdoctoral training, Statistics at University of MichiganPHD, Electrical and Computer Engineering, PHD, Electrical and Computer Engineering at North Carolina State UniversityBSc, Electrical and Computer Engineering, BSc, Electrical and Computer Engineering at National Technical University of Athens
Greek, English
Github Skills (37)
broadband9
high-speed9
scanning8
minecraft8
measurements8
networking7
cybersecurity7
network-monitoring7
nfv7
openflow7
packet7
darknet7
netfilter7
parser7
dpdk6
Programming languages (3)
Github contributions (5)
Merit-Research/AMON
Sep 2017 - Dec 2018
All-packet MONitor
Contributions:1 release, 18 commits, 1 PR in 1 year 2 months
minecraftmonitorospfopenflowddos-detection
Merit-Research/darknet-events
Jun 2020 - May 2022
Go-based Darknet parser to extract Darknet events such as scanning and backscatter
Contributions:2 reviews, 29 commits, 6 PRs in 1 year 10 months
golangeventsnetworkingcybersecuritydarknet
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