Alex Housley
Principal Advisor at All-Party Parliamentary Group on Artificial Intelligence (APPG AI)
Stony Stratford, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolAlex Housley is a seasoned founder and technology leader with over two decades of experience building mobile, data and ML-driven products and companies. He founded Seldon in 2014 to solve real-world MLOps challenges after scaling a recommendation engine that served hundreds of millions of readers, and under his leadership Seldon became the first open-source MLOps platform on Kubernetes, deploying over 10 million models for industries from automotive to life sciences. Now a Principal Advisor at Frontier Advisory and active in UK AI policy through OpenUK and APPG AI, he helps founders navigate technical architecture, enterprise GTM and fundraising while shaping responsible AI practice. His background spans hands-on engineering, product pivots and commercial exits dating back to early ventures like Total Hotspots and Rummble, giving him rare empathy for founder-stage tradeoffs. Notably, he combines deep operational experience with open-source evangelism, having built tools and processes that drive model oversight and ethical deployment at scale. Based in the UK, he brings pragmatic, outcome-focused advice that bridges research, engineering and go-to-market execution.
12 years of coding experience
16 years of employment as a software developer
BSc, Business Computer Systems, BSc, Business Computer Systems at City St George’s, University of LondonStowe
Stackoverflow
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Github Skills (39)
kubernetes10
recommendation-engine10
docker10
spark10
monitor10
python10
machine-learning-models10
data-science10
machine-learning10
kafka10
kafka-streams10
java10
gcp10
mlops10
aws10
Programming languages (5)
Github contributions (5)
ahousley/playfaircapital.github.io
Jul 2015 - Jul 2015
Contributions:1 push in 1 day
jekyll-blogjekylljekyll-thememinutes
ahousley/seldon-core
Apr 2024 - Apr 2024
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Contributions:1 push in 1 day
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