Sabri Bolkar
Machine Learning Engineer at bol
Randstad, Netherlands
Summary
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Senior🎓
Top SchoolSabri Bolkar is a Machine Learning Engineer with 8 years of experience building production-grade deep learning systems, currently focusing on scalable ML for ad fraud and invalid traffic detection at bol. He blends applied research and engineering, having led deep learning efforts at Bright River to enable high-resolution image, video and 3D editing pipelines and deployed cloud-native APIs on Azure/GCP/AWS. Sabri started and scaled ML adoption from zero to hundreds of thousands of images per month, and earlier research work includes PhD-level point-cloud registration and neuronal reconstruction algorithms. Comfortable across the ML lifecycle, he designs models, data pipelines, serving infrastructure and MLOps feedback loops that bridge research and production. He holds advanced degrees and has a background in electrical engineering and signal processing, which informs his strength in mathematical optimization for extreme detail. Colleagues describe him as someone who reliably turns novel deep-learning ideas into robust, scalable systems.
8 years of coding experience
7 years of employment as a software developer
MSc Thesis in Computer Vision and Neuroscience (IMEC - NeuroElectronics Research Flanders), MSc Thesis in Computer Vision and Neuroscience (IMEC - NeuroElectronics Research Flanders) at KU LeuvenBSc Electrical and Electronics Engineering, BSc Electrical and Electronics Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical UniversityNorwegian University of Science and Technology
English, TurkishGithub contributions (5)
elras/elras.github.io
Aug 2017 - Jun 2024
Contributions:122 pushes, 1 branch in 6 years 10 months
farrowlab/Neuron-Softsegmentation
Jul 2018 - Aug 2018
Contributions:52 commits in 13 days
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