Geoffrey Quested Jones
About Geoffrey Quested Jones
Geoffrey Quested Jones is a Senior Computer Vision Engineer at Scandit, where he has worked since 2020. He has a strong background in image processing and machine learning, with a PhD in Medical and Biomedical Imaging from UCL.
Current Role at Scandit
Geoffrey Quested Jones serves as a Senior Computer Vision Engineer at Scandit, a position he has held since 2020. He works in a hybrid capacity from Tampere, Pirkanmaa, Finland. In this role, he manages a key agile monitoring process for the entire engineering organization. His responsibilities include developing algorithms that enhance barcode image resolution, ensuring efficiency across various mobile devices.
Previous Experience at SPRINGHILL CONSULTANTS LIMITED
Before joining Scandit, Geoffrey worked as a Consultant at SPRINGHILL CONSULTANTS LIMITED from 2018 to 2020. This role was conducted remotely over a two-year period. His experience in consulting contributed to his expertise in computer vision and software development.
Education and Expertise
Geoffrey holds a Doctor of Philosophy (PhD) in Medical and Biomedical Imaging from UCL, where he studied from 2013 to 2017. He also earned a Master of Science (MSc) in Computer Graphics Vision and Imaging from UCL, completing his studies in 2013. His undergraduate education includes a Bachelor of Science (BSc) in Mathematics from Cardiff University, which he completed in 2009. His academic background is complemented by his strong skills in classical image processing and machine learning techniques.
Professional Background
Geoffrey has a diverse professional background in software development and web development. He worked as a Software Developer at LFM Software in Manchester from 2010 to 2012. Prior to that, he was an E-learning Web Developer at the University of Bath for 10 months in 2009 to 2010. Additionally, he served as a Postgraduate Student at UCL from 2012 to 2019, where he focused on research and development in computer vision.
Technical Skills
Geoffrey possesses strong technical skills in programming languages such as C, C++, and Python. He is proficient in working across multiple platforms, including Linux, Mac, and Windows. His expertise extends to developing algorithms for real-time endoscopic analysis and barcode image resolution, showcasing his ability to create efficient solutions for a range of applications.