Roelof Pieters
Founder & Developer at Sunshine Studio
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolRoelof Pieters is a founder, developer and climate technologist with 11 years building products at the intersection of nature, AI and storytelling. He’s co‑founded multiple climate and AI startups (including CTO roles at Overstory and Capacity.eco), advises early‑stage teams through Sunshine Lab, and now develops HEARTWOOD, a first‑person narrative stealth game about forests that blends gameplay with environmental consequence. With a PhD‑level computer science background and training in anthropology, he combines rigorous technical depth with human‑centred storytelling—evident in hands‑on ML work such as implementing DeepDream on video. Based in Amsterdam, he pivots fluidly between writing a book on greenwashing and shipping prototypes that turn ecological data into compelling experiences.
11 years of coding experience
14 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Computer Science, Bachelor of Applied Science (B.A.Sc.) Computer Science at Amsterdam University of Applied SciencesDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at KTH Royal Institute of TechnologyBachelor's degree Cultural Anthropology, Bachelor's degree Cultural Anthropology at University of AmsterdamMaster's degree Social Anthropology, Master's degree Social Anthropology at Stockholm UniversityBachelor's degree Cultural Anthropology / Development Sociology, Bachelor's degree Cultural Anthropology / Development Sociology at Leiden University
Dutch, Swedish, English, Russian, German
Github Skills (12)
computer-vision10
machine-learning10
caffe10
deep-learning10
python10
ffmpeg9
image-processing9
shell8
script8
sh8
scripting8
tensorflow4
Programming languages (7)
Github contributions (5)
graphific/DeepDreamVideo
Jul 2015 - Oct 2015
implementing deep dream on video
Role in this project:
ML Engineer
ML EngineerContributions:88 commits, 21 PRs, 89 pushes in 3 months
Contributions summary:Roelof primarily contributed to the implementation of a deep dream algorithm on video. Their work involved setting up the Caffe deep learning framework, loading a pre-trained GoogLeNet model, and defining functions for image pre-processing and de-processing. They developed the core `deepdream` function and also created scripts for converting video files to frames, processing those frames with the deep dream algorithm, and then converting the processed frames back into a movie. The user also added various command line arguments.
deep-learningdeep-dreamcomputer-visionvideo
graphific/graphific.github.io
Aug 2015 - Apr 2016
Contributions:20 commits, 18 pushes, 1 branch in 8 months
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