Mark Dunne
Lead Applied AI Engineer at Incubator for Artificial Intelligence
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMark Dunne is a Lead Applied AI Engineer with 13 years of experience building practical machine learning systems across government, finance, defence simulations and biotech. He blends hands-on model development in Python, TensorFlow and Scikit-Learn with production data engineering using Pandas and Spark, and has driven ML programmes at organisations from the UK Home Office and HSBC to Improbable and startup CTO roles. His background includes applying agent-based modelling for geopolitical simulations and deploying AML detection systems, showing a knack for translating complex, high-stakes problems into robust, auditable solutions. Based in Stony Stratford, he pairs consulting and leadership experience with deep technical craft—often stepping into interim CTO roles to rapidly stabilise product and data science roadmaps. An avid “Data Scientist & Machine Learning Guy,” he brings both domain breadth and a bias for shipping impactful AI in regulated environments.
13 years of coding experience
7 years of employment as a software developer
Computer Science, Computer Science at University College CorkMathematics Applied Mathematics Physics Chemistry, Mathematics Applied Mathematics Physics Chemistry at Ballincollig Community School
Github Skills (69)
python10
pydata10
pandas10
scipy10
summarization10
dask10
chat-application10
parsing10
scikit-learn10
docker-compose9
numpy9
parallel-computing9
genomics9
bioinformatics9
generative-ai8
Programming languages (9)
Github contributions (5)
i-dot-ai/parliament-mcp
Jul 2025 - Jun 2026
MCP implementation of parliamentary APIs, including Hansard and Members APIs
Contributions:5 releases, 5 reviews, 20 PRs in 11 months
MarkDunne/markdunne.github.io
Jan 2015 - Apr 2021
Contributions:69 commits, 4 PRs, 99 pushes in 6 years 3 months
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