Nikos Kargas
Applied Scientist at Amazon
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolNikos Kargas is an Applied Scientist at Amazon Alexa AI with eight years of experience bridging rigorous academic research and production-focused machine learning. He holds a PhD in Electrical and Computer Engineering from the University of Minnesota, where he developed tensor-decomposition methods for robust, interpretable models that handle missing and time-varying data. His industry work includes spatio-temporal forecasting and epidemiological modeling—published at AAAI and IJCAI—and practical deployments that improved COVID-19 hotspot prediction accuracy. Nikos also has hands-on systems experience building SDR-based RFID readers and open implementations, reflecting a knack for turning theoretical insights into working signal-processing systems. Based in London, he combines deep algorithmic expertise with real-world impact on dialog-focused NLP and time-series problems.
8 years of coding experience
7 years of employment as a software developer
University of Minnesota Twin Cities5-year Diploma, Electronic and Computer Engineering, 5-year Diploma, Electronic and Computer Engineering at Technical University of Crete / Πολυτεχνείο Κρήτης
Github Skills (3)
gnuradio10
rfid10
usrp10
Programming languages (1)
Github contributions (5)
nkargas/Canonical-System-Identification
Dec 2019 - Feb 2022
Contributions:3 commits, 6 pushes, 1 branch in 2 years 2 months
nkargas/Gen2-UHF-RFID-Reader
Sep 2018 - Mar 2022
Gen2 UHF RFID reader with USRP and GNU Radio. Tested with USRPN200 and GNU Radio v3.7.4
Contributions:10 commits, 21 pushes, 16 comments in 3 years 6 months
gnuradiorfidusrp
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