Jamie Stirling
Applied Science Intern at Amazon
England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJamie Stirling is an applied scientist and PhD candidate researching generalisation and robustness in generative AI, currently interning at Amazon. With seven years of professional experience and a decade of programming practice across C, C++, Java, Python and JavaScript, Jamie bridges academic research and production ML systems. Past roles span data science and MLOps at Evergreen Life and founding full‑stack product development at Sosoft Ltd, where they built order management and POS solutions. They combine front-end frameworks (React, Vue, Preact) and back-end technologies (Go, PostgreSQL) with mobile expertise in Kotlin, Flutter and rapid prototypes on Firebase. Jamie’s work emphasizes multimodal generative models and practical robustness, blending experimental research with deployable pipelines. Based in England, they bring a rare mix of hands-on engineering leadership and deep research focus.
7 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Generalisation and robustness in generative AI, Doctor of Philosophy - PhD, Generalisation and robustness in generative AI at Durham University
Github Skills (25)
multilabel-classification10
benchmark10
sentence-transformers10
retrieval10
information-retrieval10
text-classification10
sts10
bug-reporting10
clustering10
sentence-similarity10
neural-search9
similarity-search9
sentence-embeddings9
semantic-search9
barrage9
Programming languages (4)
Github contributions (5)
Jamie-Stirling/mteb
Sep 2024 - Dec 2024
MTEB: Massive Text Embedding Benchmark
Contributions:64 pushes, 9 branches in 3 months
Jamie-Stirling/RetNet
Jul 2023 - Nov 2024
An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"
Contributions:11 PRs, 26 pushes, 8 branches in 1 year 4 months
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