ThomasAger
PhD Candidate
Bristol, England, United Kingdom
Summary
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SeniorThomas Ager is a founder and AI researcher with 11 years of experience who earned a PhD in Interpretable Machine Learning from Cardiff University and now focuses on practical, open-source tooling for structured prompting. He leads Sophia Intelligence and (: Smile, where he has distilled novel prompt engineering methods—a new prompt instruction language and a library of modular, composable prompt modules—into a GUI and reusable workflows for reliable LLM behavior. His work bridges academic interpretability research and product-facing AI, applying principled vector-space insights to real-world multi-agent and multi-turn prompting problems. Thomas has also built AI systems for automated content generation at Crystallization Culture and consulted on automated transcript-to-article pipelines, showing a knack for turning research into repeatable engineering. A practiced traveller and retreat leader, he blends mindfulness and earth-data perspectives into eco-aware AI projects, and is actively open-sourcing his "(: Smile" prompt language on GitHub.
11 years of coding experience
Github Skills (20)
data-science9
pytorch9
hyperparameters9
python9
machine-learning9
tensorflow9
content-based-recommendation9
deep-learning9
knn9
jax8
matrix-factorization8
reproducible-research7
collaborative-filtering7
recommender-system6
hyperopt6
Programming languages (1)
Github contributions (5)
ThomasAger/Autoencoder-Explanations
Oct 2016 - Aug 2018
Contributions:165 pushes, 4 branches in 1 year 10 months
eygrr/Monte-Carlo-Tree-Search-for-Go
Mar 2015 - May 2015
Contributions:47 commits, 46 pushes, 1 branch in 1 month
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