Søren Nielsen
Senior Machine Learning Engineer at WSAudiology
Copenhagen, Capital Region of Denmark
Summary
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Senior🎓
Top SchoolSøren Nielsen is a Senior Machine Learning Engineer with 12 years of experience bridging academic research and industry product development, currently applying ML to audio and hearing technology at WSAudiology. He holds a PhD in Machine Learning from DTU and has led probabilistic and Bayesian ML projects for optical communication as a postdoc, as well as neuroimaging and psychiatric-diagnostic research. Comfortable moving from mathematical models to Python/MATLAB prototypes and embedded C/Assembler implementations, he combines deep theoretical grounding with hands-on DSP and production engineering. His trajectory shows a knack for translating research-grade algorithms into real-time, frequency-domain noise-reduction systems for commercial devices. Less obvious is his teaching background in core mathematics and ML, which underpins his ability to explain complex methods and mentor engineers.
12 years of coding experience
6 years of employment as a software developer
High School, Mathematics, Physics, German, High School, Mathematics, Physics, German at Nærum GymnasiumTechnical University of Denmark
German, English, Danish
Github Skills (10)
decoding10
brain-imaging8
neuroimaging8
python8
machine-learning7
connectivity5
transient5
neural-network4
segmentation4
toolbox4
Programming languages (2)
Github contributions (5)
DTUComputeCognitiveSystems/deep_detektor
Sep 2017 - Jan 2018
Contributions:42 commits in 3 months
sfvnielsen/ndfc
Nov 2016 - Feb 2019
Contributions:3 releases, 20 pushes, 3 tags in 2 years 3 months
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