Philip Popien
Lead Machine Learning Engineer at Freelance
Graz, Styria, Austria
Summary
🤩
Rockstar🎓
Top SchoolPhilip Popien is a Lead Machine Learning Engineer with a decade of experience building production-grade computer vision and geospatial ML systems, presently focused on deforestation tracking to protect the Amazon. He has led ML teams at startups and research-driven companies—turning core technology into working products in weeks to months—across roles from R&D at Vexcel Imaging to director-level machine learning at Floodbase and YC-backed Orbio Earth. A top-60 Kaggle competitor and winner of the OpenAI Tanzania building-footprint segmentation challenge, he combines rigorous statistical training (MSc Statistics) with deep domain expertise in satellite and aerial imagery. Based in Graz, Austria, Philip pairs hands-on model development with team leadership and a track record of shipping scalable pipelines for geospatial analytics. Outside work he’s an Effective Altruist actively supporting high-impact charities, reflecting a data-driven approach to decision-making beyond engineering.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.) Economics, Bachelor of Science (B.Sc.) Economics at Freie Universität BerlinMaster of Science (M.Sc.) Statistics, Master of Science (M.Sc.) Statistics at Humboldt-Universität zu Berlin
German, English
Github Skills (78)
scrapy10
spider10
crawler10
imagenet10
computer-vision10
builtin10
policies10
google-images10
thread10
web-crawler10
portable9
gradient9
xgboost9
python9
pytorch9
Programming languages (6)
Github contributions (5)
DeepVoltaire/AutoAugment
Jun 2018 - Jul 2021
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Contributions:17 commits, 1 PR, 35 pushes in 3 years 2 months
pytorchimagenetaugmentation-policieslearnedcomputer-vision
DeepVoltaire/DeepVoltaire.github.io
Apr 2020 - Dec 2021
Philip's Blog
Contributions:4 PRs, 20 pushes, 1 branch in 1 year 7 months
jekyll
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