Axel Tidemann
Head Of AI Takealot Group at takealot.com
Western Cape, South Africa
Summary
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Senior🎓
Top SchoolAxel Tidemann is a Head of AI with a PhD in artificial intelligence and over 12 years of experience translating cognitive modeling and deep learning research into production impact across industry and academia. Based in Western Cape, South Africa, he has led ML teams at Takealot to deploy predictive and generative AI for business operations after a research career applying deep learning and reinforcement learning at Telenor and NTNU. He blends hands-on programming and experimental rigor with strategic leadership, moving systems from prototypes to operational ML in e-commerce and classifieds. His academic background in sub-symbolic AI and work on decision-making for smart grids and intelligent aquaculture reveal a practical focus on real-world, data-driven control problems. Known for an interest in imitation learning and computational creativity, he combines curiosity about human cognition with measurable business outcomes.
12 years of coding experience
16 years of employment as a software developer
Computer Science, Computer Science at INSA Toulouse - Institut National des Sciences Appliquées de ToulouseArtificial Intelligence, Artificial Intelligence at Imperial College LondonNorwegian University of Science and Technology
Norwegian, English, French, Spanish
Stackoverflow
11reputation
181reached
0answers
1question
Github Skills (50)
python10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
cpp10
tfx9
kubeflow9
pipeline9
apache-beam9
kubeflow-pipelines9
mlops8
pandas8
Programming languages (5)
Github contributions (5)
axeltidemann/load_forecasting
Jan 2014 - Mar 2015
A framework for load forecasting, where seasonal cycles are removed from the input signal. A genetic algorithm is used to parameterize various forecasting models.
Contributions:8 commits, 4 pushes in 1 year 2 months
forecasting-modelsgenetic-algorithm
axeltidemann/propeller
Jul 2015 - Feb 2019
Collection of various files for reading/parsing raw data files, as well as experiments on the datasets.
Contributions:303 commits, 234 pushes, 3 branches in 3 years 7 months
parsing
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