Radu Sibechi
Machine Learning Engineer at Stealth Company
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolRadu Sibechi is a Machine Learning Engineer based in Amsterdam with a decade of experience building and shipping production-grade ML systems across startups and scale-ups. He has led ML research and engineering teams to deploy pipelines and 15+ models for image personalization, million-scale vector similarity, and RAG-based Q&A, and has fine-tuned diffusion and LLM models for domain-specific use cases. His work spans medical imaging (state-of-the-art osteoarthritis x‑ray classifiers), real‑time document/image unwarping, and applied computer vision for productization, reflecting a rare blend of research rigor and production engineering. Comfortable architecting ETL and cloud-native deployments in Google Cloud, he also runs risk‑storming and architecture sessions to align ML work with product tradeoffs. Known for a curiosity-driven approach (his Lewis Carroll motto), he brings pragmatic creativity to thorny data-limited problems and model scaling. Outside formal profiles he signs off as a “good kid mad city,” hinting at a playful but focused engineering persona.
11 years of coding experience
9 years of employment as a software developer
High School Mathematics and Computer Science, High School Mathematics and Computer Science at Colegiul National Stefan cel Mare SuceavaBachelor's degree Computer Science, Bachelor's degree Computer Science at Vrije Universiteit Amsterdam (VU Amsterdam)Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at University of Amsterdam
English, Romanian
Github Skills (92)
grad-cam10
experiment10
deeplab10
cpu10
clearml10
xai10
xception10
experiment-manager10
convolutional-neural-networks9
ai9
resnet9
computer-vision9
visualizations9
gpu9
deep-learning9
Programming languages (6)
Github contributions (5)
mhashas/Document-Image-Unwarping-pytorch
Jan 2020 - Jul 2020
Pytorch implementation and extension of "DocUnet: Document Image Unwarping via A Stacked U-Net"
Contributions:19 commits, 12 pushes, 10 comments in 5 months
pytorchcomputer-visiondeep-learningconvolutional-neural-networksunet
mhashas/Exploring-model-architectures-for-Visual-Question-Answering
Nov 2017 - Dec 2019
Contributions:40 pushes, 1 branch in 2 years 1 month
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