Agrin Hilmkil

Research Engineer at Google DeepMind

London, England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Agrin Hilmkil is a research engineer with 12 years of experience building and deploying ML systems, currently teaching Gemini to become a better agent at Google DeepMind. He has driven inference, product and infrastructure work for Latent Labs’ Latent-X and written high-performance CUDA kernels for quantized transformers at Microsoft, blending research depth with production-focused engineering. His background spans speech and generative models—leading a team that shipped a best-in-class Swedish TTS stack and an entirely synthesized audiobook—plus applied physiological RNN research from academia. Based in London, he combines strong mathematics and engineering training from Chalmers with a knack for turning experimental models into reliable inference pipelines. Notably, his work ethos—playfully summarized as “overfitting on test sets since 2012”—reflects a hands-on, iterative approach to squeezing performance from models in real-world settings.
code12 years of coding experience
job12 years of employment as a software developer
bookCombined program with BSc and MSc, BSc in Engineering Physics and MSc in Engineering Mathematics and Computational science, Combined program with BSc and MSc, BSc in Engineering Physics and MSc in Engineering Mathematics and Computational science at Chalmers University of Technology
languagesEnglish, Swedish
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Github Skills (139)

python10
text-to-speech10
voice-conversion10
deep-learning10
speech10
dockerfile10
sidekick10
oci-image10
ml10
neural-network10
nlp10
data-science10
speech-synthesis10
tensorflow10
natural-language-processing10

Programming languages (10)

TypeScriptJavaDockerfileC++TeXGoHTMLJupyter Notebook

Github contributions (5)

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Peltarion/sidekick

Mar 2019 - Jun 2022

Sidekick code for the platform
Contributions:1 review, 23 PRs, 23 pushes in 3 years 3 months
sidekick
Contributions:6 commits, 5 PRs, 5 pushes in 1 year 5 months
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Agrin Hilmkil - Research Engineer at Google DeepMind