Profile
Vision-AI researcher and engineer with a strong pull toward practical perception and image understanding. I work hands-on on new model and algorithm development, adapting ideas from across ML into vision, and carrying them through to solid, deployment-ready systems. I completed my Master's in Machine Learning at ETH Zurich and hold a Bachelor's degree from EPFL.
Education
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Master of Science in Electrical Engineering and Information Technology

2021 to 2024 at ETH Zurich, Specialization in Machine Learning and Computer Vision

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Bachelor of Science in Electrical and Electronics Engineering

2017 to 2021 at EPFL, Specialization in Signal Processing

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Erasmus Exchange Program

2020 to 2021 at TU Dresden, Specialization in Applied Machine Learning

Experience
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Research Scientist at EthonAI

From January 2025 to Present at EthonAI

Developing towards a foundation model for industrial computer vision. Leading and managing the initiative for in-house deep learning ML architecture, including the setup and management of a SLURM cluster for efficient model training and experimentation.

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Machine Learning Engineer Intern at EthonAI

From July 2024 to December 2024 at EthonAI

Worked on cutting-edge machine learning solutions, focusing on developing and deploying ML models for real-world applications.

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Data Scientist at Blue Ocean SWS

From March 2023 to Present (Part-time since July 2024) at Blue Ocean SWS

Developed data-driven solutions and implemented machine learning models to solve complex business problems. Worked on end-to-end ML pipelines from data preprocessing to model deployment. Currently continuing part-time alongside full-time research role.

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Master Thesis Student at Google and ETHZ

From October 2023 to April 2024 at Google and ETH Zurich

Conducted research on advanced machine learning techniques in collaboration with Google Research and ETH Zurich, focusing on computer vision applications.

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Research Assistant at Media Technology Center ETHZ

From June 2023 to October 2023 at ETH Zurich

Assisted in research projects at the Media Technology Center, working on signal processing and machine learning applications for multimedia technologies.

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Semester Thesis Student at Disney Research Zurich

From February 2023 to June 2023 at Disney Research Zurich

Conducted semester thesis research on computer vision and graphics, exploring innovative techniques for visual content creation and processing.

Publications
  • P2P-Bridge: Diffusion Bridges for 3D Point Cloud Denoising
    Mathias Vogel, Keisuke Tateno, Marc Pollefeys, Federico Tombari, Marie-Julie Rakotosaona, Francis Engelmann
    European Conference on Computer Vision (ECCV) 2024
    Project Page | arXiv
Skills
  • Python
  • PyTorch
  • TensorFlow
  • C/C++
  • Data Structures
  • SQL
  • Docker
  • Azure
  • Computer Vision
  • Deep Learning
  • Signal Processing
  • Machine Learning
  • 3D Point Clouds
  • Multimodal Models
  • Git