Conor Mccarthy
Quantitative Developer
Dublin, Ireland
Summary
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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.
7 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 (64)
notebook10
python10
kdb10
mkdocs10
qpython10
feature-engineering10
sink10
jupyter-kernels10
adapter10
embedpy10
jupyter-notebook10
documentation10
jupyter9
converting9
pyq9
Programming languages (8)
Github contributions (5)
cmccarthy1/automl-1
Apr 2020 - Dec 2020
Automated Machine Learning Framework for kdb+
Contributions:67 reviews, 62 PRs, 141 pushes in 7 months
automated-machineautomated-machine-learningmachine-learningautomlkdb
KxSystems/kafka
Jul 2019 - Dec 2020
kdb+ to Apache Kafka adapter, for pub/sub
Contributions:3 releases, 8 reviews, 110 commits in 1 year 5 months
sinkapache-kafkaapacheadapterdatastream
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