Gints Engelen
Back End Engineer Intern at Kantan CMS
Sendai, Japan
Summary
👤
Senior🎓
Top SchoolGints Engelen is a backend engineer and final-year Computer Science PhD candidate with nine years of experience combining rigorous research in network intrusion detection with hands-on cloud-native engineering. Currently building containerised, FastAPI-based systems on Google Cloud at Kantan-CMS, he brings practical skills in Python, Docker, and automated deployment pipelines. His research at KU Leuven exposed and corrected pervasive dataset and feature-design flaws in widely used NIDS benchmarks—improving data quality for the whole community and contributing concrete best-practices for ML-based security systems. Comfortable mentoring and teaching, he has guided multiple master's students and earned recognition as Best Computer Science Teaching Assistant. Based in Sendai with J-FIND visa and Japanese N2-level, he’s actively seeking backend roles in Tokyo or Sendai where he can bridge research-grade rigor and production-ready engineering.
9 years of coding experience
Master's degree, Applied Computer Science (Artificial Intelligence), Magna Cum Laude, Master's degree, Applied Computer Science (Artificial Intelligence), Magna Cum Laude at KU LeuvenBachelor's degree, Computer Science, Bachelor's degree, Computer Science at UC Leuven-Limburg
Dutch, English, French, Latvian, Chinese, Japanese
Github Skills (3)
machine-learning6
netflow2
react2
Programming languages (3)
Github contributions (5)
GintsEngelen/CICFlowMeter
Apr 2021 - Oct 2022
This forked repository contains our fixed version of the original CICFlowmeter tool. The improvements were implemented as part of our paper, where we performed an extensive analysis of the CICIDS 2017 dataset and the CICFlowMeter tool.
Contributions:20 commits, 22 PRs, 27 pushes in 1 year 6 months
improvementsperformeddatasetmachine-learning
GintsEngelen/CTF
Nov 2020 - Oct 2023
Contributions:5 pushes, 1 branch in 2 years 10 months
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