Hayder Elesedy
Machine Learning Researcher at Fundamental
Barcelona, Catalonia, Spain
Summary
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Senior🎓
Top SchoolHayder Elesedy is a machine learning researcher with a DPhil from Oxford and an MSc in Mathematics with Theoretical Physics from Cambridge, bringing eight years of experience across industry and high-impact research teams. He has worked on foundation models for tabular data, LLM safety and differential privacy at Samsung, and patented optimisation work from an internship at DeepMind. His background spans applied deep learning, federated analytics, graph neural networks and quantitative trading, with contributions to pandemic response modelling for the Royal Society and early A-Life research at X. Based in Barcelona, he combines rigorous theoretical training with product-minded R&D, often translating advanced optimisation and privacy ideas into deployed systems. An under-the-radar strength is his cross-domain fluency—from market-facing timeseries forecasting to foundational model safety—which helps bridge research and real-world engineering.
8 years of coding experience
3 years of employment as a software developer
DPhil Computer Science: Machine Learning., DPhil Computer Science: Machine Learning. at University of OxfordMaster of Science (MSc) Mathematics with Theoretical Physics, Master of Science (MSc) Mathematics with Theoretical Physics at University of Cambridge
Github Skills (88)
python10
deep-learning10
gpu10
nlp10
natural-language-processing10
adapter10
pytorch10
machine-learning10
numpy9
neural-network9
transformer9
transformers9
language-model9
gpu-acceleration9
lora9
Programming languages (6)
Github contributions (5)
brynhayder/brynhayder.github.io
Feb 2018 - Feb 2025
Contributions:50 pushes, 1 branch in 7 years
rs-delve/tti-explorer
May 2020 - Jun 2020
Contributions:237 commits, 2 pushes in 1 month
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