Aleksei Maliutin
Machine Learning Engineer
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolAleksei Maliutin is a Machine Learning and MLOps engineer with 11 years of experience building production-grade ML systems and shipping them at scale from research notebooks to Kubeflow/KServe deployments. Based in Amsterdam, he combines strong modeling chops (TensorFlow, XGBoost, attention models) with hands-on MLOps delivery—leading a team that built a security-enhanced Kubeflow platform on Azure AKS now used across his department. His work spans NLP, anomaly detection, and graph-based financial representation learning, and his University of Amsterdam thesis introduced a novel finWalk sampling strategy for financial networks. He measures success by operational impact, having cut procedure times and training times significantly through pipeline and serving optimizations. A double MSc graduate and Microsoft-certified practitioner, he mentors junior engineers and actively shapes MLOps roadmaps within enterprise settings.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Saint Petersburg State UniversityMaster of Science - MS, Computational Science, Master of Science - MS, Computational Science at University of AmsterdamMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at ITMO University
Russian, English
Github Skills (15)
azerothcore8
datasets8
open-datasets7
pii6
1c6
nette6
python5
bitrix4
tripadvisor4
crawler2
crawling1
representation-learning1
twitter1
scalable1
twitter-api1
Programming languages (1)
Github contributions (5)
AlexWorldD/Libry
Dec 2015 - Apr 2021
Contributions:2 PRs, 76 pushes, 6 branches in 5 years 5 months
AlexWorldD/AIRY
Jun 2017 - Apr 2021
Contributions:2 pushes in 3 years 10 months
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