Caspar Volquardsen is a Machine Learning Engineer based in Hamburg with eight years of experience blending research and production software engineering, currently contributing to Lightroom Applied Research at Adobe. He has moved from cloud and backend roles into on-device ML, delivering a state-of-the-art CLIP model and quantized variants during a collaboration between Adobe Research and the University of Hamburg that optimize quality-latency tradeoffs for mobile. Comfortable across the stack, he has built high-availability cloud services for Adobe Content Platform and implemented tooling like an open-source Flask app for automated video cutting. Caspar pairs strong algorithmic curiosity and academic training (MSc Informatik) with practical delivery, routinely translating research prototypes into performant, deployable systems.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Informatik, Master of Science - MS Informatik at University of Hamburg
Bachelor of Science - BS Informatik, Bachelor of Science - BS Informatik at Fachhochschule Wedel
Contributions:16 commits, 13 pushes, 1 branch in 4 months
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Caspar Volquardsen - Machine Learning Engineer 3 at Adobe