Alexander Voldby
Student Assistant In Data-driven Audiology
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolAlexander Voldby is a data-driven AI and computer vision enthusiast currently pursuing an MSc in Mathematical Modelling and Computation at DTU and working as a Student Assistant in Data-driven Audiology at Oticon. With about eight years of hands-on experience across research, teaching, and product-focused roles, he bridges academic rigor with practical implementation of AI solutions for real-world problems. He has supported statistics teaching at DTU Compute, completed an exchange in computer science at UC San Diego, and contributed to startup and consultancy projects, demonstrating adaptability across environments. Alexander seeks challenging roles where he can deepen his machine learning and software engineering skills while delivering measurable value to teams and products. A not-obvious strength is his blend of formal mathematical training and applied development experience, enabling him to translate complex models into deployable systems.
8 years of coding experience
University of California, San DiegoTechnical University of Denmark
Github Skills (11)
object-recognition3
keras3
image-retrieval2
tensorflow2
process-mining2
object-detection2
mask-rcnn1
metric-learning1
pytorch1
machine-learning1
instance-segmentation1
Programming languages (3)
Github contributions (5)
Holstrup/PlaceRecognition
Dec 2020 - Jul 2021
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
Contributions:6 PRs, 192 pushes, 6 branches in 6 months
image-retrievalpytorch
Holstrup/ProcessMining
Oct 2019 - Dec 2020
Process Mining Project
Contributions:8 pushes, 1 branch in 1 year 2 months
process-mining
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