Thesis on potential and limitations of tensor methods for learning on visual data.
Supervised by Prof. Dr. Konrad Schindler.
Research areas: Deep Learning, Tensors, Computer Vision.
Research Intern
Google
Research Intern at Mobile Vision Group.
Research Intern
Apple
Research Intern at Special Projects Group.
Software Engineering Intern
ProtonMail
Applied LSH for SPAM detection
Developed the system for import/export of emails for the ProtonMail system
Worked on muon tracks simulation with Generative Adversarial Networks
Developed efficient architecture (50x to 30% FLOPS speedup, depending on the problem)
Education
Dr.Sc. Computer Science
ETH Zurich, Zurich, Switzerland
Thesis on potential and limitations of tensor methods for learning on visual data.
Supervised by Prof. Dr. Konrad Schindler.
Research areas: Deep Learning, Tensors, Computer Vision.