Alex Pashevich is a Research Lead at RBC Borealis with 11 years of experience translating cutting‑edge machine learning research into enterprise-scale financial products. He has led development of AI-driven pricing models and deep‑learning fraud detection systems, co-authoring patents and peer‑reviewed papers while mentoring research teams through end-to-end model deployment. His PhD work produced the Episodic Transformer—an influential full‑history transformer agent for embodied vision-and-language navigation—and advanced sim-to-real transfer for robotics. A proven bridge between academia and industry, he co-founded Vancouver AI Connect to grow a 300+ member research‑industry community in Vancouver. Alex combines rigorous theory from top European and Russian institutions with pragmatic engineering that delivers measurable business impact in high-stakes finance. He often pairs novel model architectures with production optimizations (e.g., training and data‑loading efficiency) to accelerate real-world adoption.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Grenoble Alpes
Bachelor's degree, Applied Mathematics and Physics, Bachelor's degree, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Master's degree, Computer Science, Master's degree, Computer Science at Grenoble INP - UGA
Contributions:2 pushes, 1 branch in 4 years 6 months
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