Jannik Wolff
Machine Learning Engineer
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolJannik Wolff is a Machine Learning Engineer and Research Associate at TU Berlin / BIFOLD with nine years of experience bridging academic research and applied ML. He holds an M.Sc. in Information Systems Management from Technische Universität Berlin and studied data analytics at Shanghai Jiao Tong University, giving him a strong interdisciplinary foundation in engineering, analytics, and systems thinking. Based in Berlin, he focuses on turning research insights into practical ML solutions and maintains a personal website showcasing projects and research. Colleagues would describe him as methodical and curious—equally comfortable with theoretical experimentation and the engineering work required to productionize models.
9 years of coding experience
1.6, 1.6 at Newaygo High SchoolMaster of Science, Information Systems Management, 1.3, Master of Science, Information Systems Management, 1.3 at Technische Universität BerlinBachelor of Science, Industrial Engineering, 1.9, Bachelor of Science, Industrial Engineering, 1.9 at Technische Universität BraunschweigData Analytics (exchange), Data Analytics (exchange) at Shanghai Jiao Tong University
Chinese, English, German
Github Skills (17)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
generative-adversarial-network8
hyperparameters7
optimization5
multiprocessing5
pytorch5
asynchronous4
hyperparameter-optimization2
Programming languages (2)
Github contributions (5)
JannikWolff/JannikWolff
Aug 2021 - Aug 2023
Contributions:8 pushes, 1 branch in 2 years
langhabel/optimization-surrogate-generalization
Aug 2016 - Jun 2018
Contributions:15 commits, 13 pushes in 1 year 10 months
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