Frank Brongers
R&D Engineer at BluePrint Automation (BPA)
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolFrank Brongers is an R&D Engineer based in Amsterdam with 10 years of experience applying machine learning and software engineering to real-world products, particularly in computer vision and automation. He has built and deployed production-grade CV systems for applications ranging from an autonomous apple-picking robot to logistics depot automation and onboarding decision tools. Comfortable across the stack, he combines hands-on model development with embedded and web systems work (Raspberry Pi deployments, planning AI-driven demand prediction). His background includes internships and applied ML projects at Oracle and a Master's in Artificial Intelligence from the University of Amsterdam, complemented by international exchange study at Waseda University. Colleagues would note his aptitude for turning research-grade models into operational solutions and mentoring students through thesis projects, reflecting both technical depth and practical delivery focus.
10 years of coding experience
2 years of employment as a software developer
Master Artificial intelligence, Master Artificial intelligence at University of AmsterdamGymnasium Economie en maatschappij profiel, Gymnasium Economie en maatschappij profiel at Cygnus GymnasiumExchange Culture and communication, Exchange Culture and communication at Waseda University, Graduate School of International Culture and Communication Studies （GSICCS）
Dutch, English, German, japans
Github Skills (24)
mscoco10
hierarchical9
semantic-segmentation9
backbone9
visual-recognition8
imagenet8
image-classification7
object-detection7
swin-transformer6
mask-rcnn6
windows6
transformer5
vision-transformer5
deep-learning5
pytorch5
Programming languages (1)
Github contributions (5)
FrankBrongers/FactorVAE
Jan 2021 - Jan 2021
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Contributions:8 PRs, 59 pushes, 7 branches in 17 days
pytorcharxivabspytorch-implementation
FrankBrongers/retinanet-examples
Apr 2020 - Apr 2020
Fast and accurate object detection with end-to-end GPU optimization
Contributions:28 pushes in 3 days
pytorchend-to-enddeep-learninggpuoptimization
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