Bruno Gavranović

London, England, United Kingdom
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Summary

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Rockstar
Bruno Gavranović is a research advisor and founder with a decade of experience building neural networks and the infrastructure needed to train them, focused on producing provably correct, type-safe code. He leads Coend and contributed to a $31M pivot at Symbolica AI by operationalising Categorical Deep Learning into concrete projects and teams. Holding a PhD in applied category theory, Bruno develops new architectures, mathematical foundations for generalisation on recursive data, and dependently-typed tensor tooling—most recently the TypeSafe_Tensors/TensorType framework. He combines theorem-proving work at Glasgow Lab for AI Verification with practical systems engineering, translating algebraic tactic languages into Lean meta-programs for ML-driven proof synthesis. Based in the UK, he blends deep theoretical insight with hands-on implementation in Haskell and dependently-typed languages, making abstract category theory directly useful for reliable ML systems. An uncommon strength is his simultaneous focus on mathematical precision and production-grade infrastructure that enables provable correctness at scale.
code10 years of coding experience
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Github Skills (62)

machine-learning10
lenses10
category-theory10
generative-adversarial-network9
automatic-differentiation9
python8
backpropagation8
derivative8
tensorflow8
agda8
functional-programming8
differentiation7
numpy7
formal-verification7
deep-learning7

Programming languages (9)

TypeScriptC++IdrisCSSHaskellAgdaJupyter NotebookReason

Github contributions (5)

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bgavran/Agda_Category_Theory

Sep 2019 - Jan 2023

Formalization of category theory in Agda
Contributions:61 commits, 53 pushes, 1 branch in 3 years 4 months
agdacategory-theory
bgavran/autodiff

Mar 2017 - Apr 2019

Rudimentary automatic differentiation framework
Contributions:121 commits, 55 pushes, 1 branch in 2 years 2 months
automatic-differentiation
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