Alexander 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.
Contributions:8 pushes, 1 branch in 1 year 2 months
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Alexander Voldby - Student Assistant In Data-driven Audiology