Geoff Sims
Principal Machine Learning Engineer Central AI at Atlassian
Greater Sydney Area Australia
Summary
👤
Senior🎓
Top SchoolGeoff Sims is a Principal Machine Learning Engineer at Atlassian with a PhD in astrophysics and over a decade delivering production ML and data platforms across retail, media, renewables and SaaS. He designs and ships generative-AI and RAG-powered features, combining deep statistical rigor with practical engineering—Docker, Spark/Hive, Flask and CI-driven microservices—to move models from prototype to product. Geoff’s background in Antarctic astronomy gives him unusual expertise in processing large, noisy scientific imagery and satellite data, skills he has repurposed to solve messy enterprise data problems at scale. He began programming with QBasic and C/C++ and now focuses on Python-centric, distributed pipelines and tree-based and NLP models (RF/GBM/XGB, word2vec, LDA). Colleagues rely on him for pragmatic system design, reproducible deployment, and clear data storytelling to senior stakeholders.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BSc) Astronomy and Astrophysics, Bachelor of Science (BSc) Astronomy and Astrophysics at Macquarie UniversityUNSW Sydney
English, Indonesian
Github Skills (34)
community-detection10
force-layout10
force-directed-graph10
graph-layout9
pytorch9
layout9
python9
machine-learning9
networkx9
natural-language-processing9
gephi9
igraph9
speech-recognition9
nlp9
transformer8
Programming languages (1)
Github contributions (5)
beyondbeneath/fractal-joshua-trees
Jun 2019 - Jun 2019
Contributions:41 commits, 39 pushes, 1 branch in 11 days
beyondbeneath/mosaic-silhouettes
Dec 2018 - Jun 2019
Contributions:4 commits, 4 pushes, 1 branch in 5 months
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