Luyolo Magangane
Senior Machine Learning Engineer at HelloFresh
Berlin, Germany
Summary
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Senior🎓
Top SchoolLuyolo Magangane is a Senior Machine Learning Engineer based in Berlin with nine years of experience building production ML systems and research-driven models for knowledge representation, graphical ML, and knowledge-intensive NLP. He has led ML architecture and tooling standardization across teams, shipping lifecycle frameworks, CLV and inference models, and behavioural testing at scale while driving experimentation and budget steering. At Amazon he translated prototype ML into globally deployed optimisations for infrastructure resource management via rigorous A/B experimentation, and earlier roles span real-time analytics, recommendation and search infrastructure. He combines applied research interests in open-domain concept modeling and multi-hop graph reasoning with hands-on expertise in TensorFlow, Docker, Terraform and GCP. Known for turning scientific methods into modular pipelines, he bridges applied science and engineering to accelerate data-scientist-led deployment. A former MS in Applied Mathematics student, he brings a strong quantitative foundation to practical, production-focused ML.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Electrical and Computer, Bachelor of Engineering (B.Eng.) Electrical and Computer at University of Cape TownMaster of Science - MS Applied Mathematics, Master of Science - MS Applied Mathematics at Stellenbosch UniversityVeritas College Senior School
Zulu, English, Sotho, Afrikaans
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
statistical-relational-learning7
factorization6
autoencoder5
relational4
deep-learning3
machine-learning3
tensorflow2
prediction2
knowledge-graph1
tensor1
Programming languages (3)
Github contributions (5)
xhosaBoy/hyper-neural-tensor-factorisation
Oct 2018 - Jan 2020
State-of-the-Art Neural Tensor Factorization for Statistical Relational Learning
Contributions:51 commits, 16 PRs, 99 pushes in 1 year 2 months
tensor-factorizationrelationalautoencoderartfactorization
xhosaBoy/optimised-neural-tensor-network
May 2018 - Jan 2020
Knowledge representation and reasoning with deep learning
Contributions:24 PRs, 92 pushes, 31 branches in 1 year 7 months
pytorchknowledge-representationrepresentationknowledgedeep-learning
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