I'm a dedicated Machine Learning Engineer with a passion for pushing the boundaries of AI and computer vision. With a solid foundation in both research and industry, I've had the privilege of contributing my expertise to both startup innovation and large-scale tech operations.My professional journey has been deeply rooted in the intersection of machine learning and computer vision, where I've honed my skills and expertise. My work revolves around leveraging cutting-edge machine learning techniques to tackle complex computer vision challenges. Whether it's object detection, image classification, or 3D scenes, I thrive on the excitement of transforming visual data into actionable insights.Python is my go-to language for crafting robust machine learning models and algorithms, but I also bring a wealth of experience from my early days working with C++. This technical versatility allows me to bridge the gap between research and practical implementation, delivering solutions that not only perform well but also scale effectively.If you're interested in discussing anything related to machine learning, computer vision, or AI in general, I'd love to connect and share insights. Let's explore the exciting possibilities at the intersection of technology and innovation.
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Machine Learning EngineerApple Nov 2022 - PresentCupertino, California, UsVisual Look Up -
Computer Vision And Machine Learning EngineerSnaq Ag Oct 2020 - Sep 2022Zurich, ChIn charge of the computer vision pipeline and further developing it with evolving technologies.Responsible for training, evaluating, and maintaining data-driven models for production and continuously measuring performance with meaningful metrics after deployment. (Tensorflow, Pytorch, Docker, AWS ECR)Assessing new state-of-the-art models and techniques in deep learning for our product.Implemented and deployed a new solutions to production.Analysing the aggregated health data and conceptualising use cases for the product. -
Machine Learning EngineerSnaq Ag Dec 2019 - Oct 2020Zurich, ChResponsible for training, evaluating and maintaining data-driven models for production. (Tensorflow, Docker, AWS ECR)Assessing new state-of-the-art models and techniques in deep learning for our product. -
Associate ScientistAbb Sep 2019 - Nov 2019Zurich, Zh, ChImplementing a MATLAB regression model for integrated sensor systems in Python supporting modularity and maintainability. -
Research AssistantAbb May 2019 - Sep 2019Zurich, Zh, ChImplemented and tested a residual RNN based method for anomaly detection for sensor fault detection in integrated sensor systems. Composed a journal paper with the findings. -
Research StudentEth Zürich Aug 2018 - Apr 2019Zürich, ChDetection of misclassifications in semantic segmentation networks utilizing conditional generative adversarial networks. (GAN) -
StudentEth Zürich Sep 2012 - Apr 2019Zürich, Ch
David Haldimann Skills
David Haldimann Education Details
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Eth ZürichAutonomous Systems Lab Eth -
Eth ZürichComputational Science And Engineering -
Eth ZürichComputational Science And Engineering -
Stiftsschule EngelbergMatura
Frequently Asked Questions about David Haldimann
What company does David Haldimann work for?
David Haldimann works for Apple
What is David Haldimann's role at the current company?
David Haldimann's current role is Machine Learning Engineer at Apple.
What schools did David Haldimann attend?
David Haldimann attended Eth Zürich, Eth Zürich, Eth Zürich, Stiftsschule Engelberg.
What skills is David Haldimann known for?
David Haldimann has skills like Python, Machine Learning, Computer Vision, Matlab, C++, Latex, Tensorflow, Deep Learning, Github, Microsoft Powerpoint, Englisch, Deutsch.
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