Peter Neufeld

Peter Neufeld

R&D Engineer Computer Vision / Machine Learning @ FERCHAU

About Peter Neufeld

Peter Neufeld is an R&D Engineer specializing in Computer Vision and Machine Learning, with expertise in remote sensing and GIS. He currently works at FERCHAU and Siemens in Berlin, utilizing advanced techniques in multi-camera processing and machine learning.

Work at FERCHAU

Peter Neufeld has been employed at FERCHAU as an R&D Engineer specializing in Computer Vision and Machine Learning since 2021. In this role, he focuses on developing advanced algorithms and solutions that leverage machine learning techniques for various applications. His expertise includes multi-camera processing, image registration, and 3D point cloud processing. Neufeld's work contributes to the company's innovation in technology and enhances its capabilities in the field of computer vision.

Work at Siemens

In addition to his role at FERCHAU, Peter Neufeld also serves as an R&D Engineer in Computer Vision and Machine Learning at Siemens since 2021. His responsibilities include applying machine learning techniques such as regression, classification, and clustering to improve product offerings. Neufeld's work at Siemens focuses on integrating advanced imaging technologies and enhancing the efficiency of systems through innovative solutions.

Education and Expertise

Peter Neufeld holds a Master of Science in Geodesy and Geoinformation Science from Technische Universität Berlin, where he studied from 2017 to 2020. He also earned a Bachelor of Applied Science in Geoinformatics from Universität Osnabrück during the same period. His academic background provides a strong foundation in remote sensing and GIS, complemented by proficiency in tools such as ArcGIS, QGIS, and ERDAS IMAGINE.

Technical Skills and Tools

Neufeld possesses a diverse skill set in programming languages, including Python, Matlab, Java, and C++. He is experienced with deep learning frameworks such as TensorFlow, PyTorch, and Keras. His technical expertise extends to cloud computing platforms like Google Cloud and AWS, as well as database management systems including SQL, PostgreSQL, and PostGIS. Neufeld also utilizes Unix shell scripting for automation and development tasks.

Previous Experience at Omnius

Before his current roles, Peter Neufeld worked at Omnius as a Working Student Data Analyst/Scientist from 2018 to 2019 and as an Intern for his Master Thesis from 2019 to 2020. During his time at Omnius, he gained practical experience in data analysis and machine learning applications, which contributed to his development as a skilled engineer in the field of computer vision.

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