André Vidal
Computer Vision Research Manager at Parkopedia
United Kingdom
Summary
👤
Senior🎓
Top SchoolAndré Vidal is a Computer Vision Research Manager with 10 years of experience applying machine learning and control techniques to real-world perception problems, currently leading research at Parkopedia. He progressed from hands-on researcher and senior deep learning engineer to managing teams that turn CV models into production-ready services for complex parking and automotive contexts. His background blends a MSc in Electronics and Computer Engineering with robotics and estimation training from Universität Karlsruhe, giving him strong foundations in signal processing and state estimation. André has a track record across startups and research institutions, from photovoltaic optimization during his PhD studies to leading CV efforts at Gen Life and SnapRapid. He combines academic rigor with product-focused delivery, often bridging adaptive signal processing concepts into data-driven vision systems. Based in the UK, he is known for translating advanced algorithms into scalable pipelines that improve real-world sensing and decision-making.
10 years of coding experience
7 years of employment as a software developer
Robotics, Estimation theory, Industrial Management, Robotics, Estimation theory, Industrial Management at Universität Karlsruhe (TH)Ms.C., Master in Electronics and Computer Engineering, Ms.C., Master in Electronics and Computer Engineering at Faculdade de Engenharia da Universidade do Porto / FEUP
English
Github Skills (22)
keras8
spark7
mpi7
baidu7
convolution6
segmentation6
machine-learning6
classification6
convolutional-neural-networks6
robotics6
point-cloud5
ray5
tensorflow5
deep-learning5
pytorch5
Programming languages (1)
Github contributions (4)
andvidal/rpi-mining-stats-LCD
Jan 2018 - Jan 2020
A repository to display crypto currencies mining stats on a 20 Characters x 4 Lines LCD Display using a Raspberry Pi.
Contributions:3 commits, 1 PR, 3 pushes in 2 years
cryptolcdraspberry-pi
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