Alex Spies
Research Engineer at Epic Games
London, England, United Kingdom
Summary
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Top SchoolAlex Spies is a research engineer specializing in mechanistic interpretability and neurosymbolic AI, with eight years' experience bridging deep research and production systems. He completed a PhD at Imperial College London studying interpretable representations, sparse/object-centric structure, and transformer computations, and has demonstrated emergent world-model structure in maze‑solving transformers. At Epic Games he built finetuning, eval and serving infra (UnSloth, SageMaker, vLLM) and shipped robust LLM agents that handle 10k+ weekly queries for low‑resource language code generation. He combines exploratory reverse‑engineering of models with production-grade reproducible pipelines and lightweight infra for large‑scale experiments and GPU monitoring. Alex has a track record of open-source tooling and dataset maintenance from his UnSearch work and workshops, and brings a physicist’s analytic rigor from earlier HEP and sensor research to AI system design.
7 years of coding experience
Physics, Physics at University of California, BerkeleyMPhys Physics with Theoretical Physics, MPhys Physics with Theoretical Physics at The University of ManchesterDoctor of Philosophy Artificial Intelligence, Doctor of Philosophy Artificial Intelligence at Imperial College LondonA2 Levels, A2 Levels at Backwell School
English, German
Github Skills (71)
visual-studio10
editor10
electron10
typescript10
vscode-extension10
vscode10
visual-studio-code10
microsoft10
artificial-intelligence9
ai8
fast-forward8
lora8
python8
deep-learning8
machine-learning8
Programming languages (7)
Github contributions (5)
unicsmcr/coding-classes
Jan 2019 - Jul 2020
Material for Coding Classes run by UniCS for Non-CS Majors
Contributions:19 commits, 1 PR, 23 pushes in 1 year 5 months
afspies/attention-tutorial
Jan 2021 - Aug 2022
Contributions:9 commits, 8 pushes, 1 branch in 1 year 6 months
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