Blaž Stojanovič
Member Of Engineering (Pre-training) at Poolside
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBlaž Stojanovič is an engineer blending eight years of physics-driven scientific computing with practical machine learning and founding-stage product work. He has led relational deep learning and agent efforts at Kumo.ai for fraud detection, personalization, and recommender systems, and now contributes to pre-training engineering at Poolside in Mountain View. His academic background (MPhil in Scientific Computing from Cambridge and a physics BSc) and research at Stanford and Jozef Stefan Institute inform work on graph neural networks, large-scale simulation emulation, and meshless PDE solvers. He pairs rigorous numerical methods experience—parallelization, domain decomposition, and uncertainty quantification—with applied ML for real-world systems. Notably, he moves comfortably between building production models and publishing research-grade software and papers, bringing a scientist’s curiosity to product-focused engineering.
8 years of coding experience
6 years of employment as a software developer
Master of Philosophy - MPhil, Scientific Computing, Master of Philosophy - MPhil, Scientific Computing at University of CambridgeInternational Baccalaureate, International Baccalaureate at Gimnazija KranjBachelor's degree, Physics, Bachelor's degree, Physics at University of Ljubljana, Faculty of Mathematics and Physics
Slovenian, English, Croatian, German, Italian
Github Skills (7)
geometric-deep-learning10
graph10
pytorch10
deep-learning10
graph-neural-network10
graph-convolutional-networks10
neural-network9
Programming languages (1)
Github contributions (5)
BlazStojanovic/pytorch_geometric
Nov 2022 - May 2023
Graph Neural Network Library for PyTorch
Contributions:16 pushes, 3 branches in 5 months
pytorchdeep-learningneural-graphgraph-neural-networkgraph-neural-networks
BlazStojanovic/BlazStojanovic
Oct 2022 - Apr 2023
Contributions:2 pushes, 1 branch in 6 months
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