Conor Mccarthy
Quantitative Developer
Dublin, Ireland
Summary
👤
Senior🎓
Top SchoolConor Mccarthy is a quantitative developer and machine learning engineer with eight years of experience building production ML systems and developer interfaces for high-performance time-series platform KX and now at Millennium. He led PyKX from proof-of-concept to broad client adoption, owning product strategy, release to PyPI, and long-term sustainability while managing cross-functional teams of engineers, QA and DevOps. His work spans online learning algorithms, model registries, stream processing, and feature-extraction tooling that power low-latency analytics in finance and other domains. A former experimental physics MSc, Conor brings strong numerical and systems instincts—having implemented C-based HDF5 bridges and q/Python integrations as well as domain-specific AutoML for NLP, manufacturing and defense. Colleagues know him for turning research prototypes into deployable, monitored services and for combining hands-on coding with product leadership. Based in Dublin, he combines deep machine learning R&D with practical experience shipping developer-facing open-source tooling.
8 years of coding experience
4 years of employment as a software developer
Master of Science (MSc) Experimental Physics (Spectroscopy), Master of Science (MSc) Experimental Physics (Spectroscopy) at University College Dublin
Github Skills (58)
notebook10
python10
jupyter10
python-functions10
machine-learning10
kdb10
feature-engineering10
mkdocs10
qpython10
jupyter-kernels10
embedpy10
jupyter-notebook10
documentation10
r9
pyq9
Programming languages (8)
Github contributions (5)
KxSystems/mlnotebooks
Jun 2018 - Oct 2020
Demonstration notebooks for Machine Learning
Contributions:5 releases, 7 commits, 20 PRs in 2 years 4 months
machine-learningkdbnotebookneural-networkfeature-engineering
KxSystems/automl
Mar 2020 - Jan 2021
Automated Machine Learning Framework for kdb+
Contributions:5 releases, 6 reviews, 25 commits in 10 months
automated-machine-learningkdbmachine-learningq
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