Roly Hudson

Principal Systems Architect (Contract, Via Lacunae)

Dublin, Dublin 1, Ireland
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Summary

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Senior
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Top School
Roly Hudson is a Director and founder of Lacunae who blends deep expertise in software engineering with a PhD in architecture to deliver computational design tools for the built environment. With over a decade of experience across academia and industry, he leads interdisciplinary teams to build web-integrated CAD/BIM workflows that marry geometric, geospatial and climatic datasets. His work has automated tasks from masterplan management and stadium view analysis to whole-building geometry control and bespoke façade fabrication. Roly applies agile, model-driven development to create plugins, custom software and training that embed advanced geometry processing into everyday BIM practice. He splits time between consulting and academic collaboration, having developed curricula and won funded research partnerships that translate research into production-ready tools. Based in Dublin, he is known for turning abstract design spaces into efficient manufacturing and construction procedures that broaden practical design possibilities.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster of Science - MS Software Engineering, Master of Science - MS Software Engineering at University of Liverpool
bookDoctor of Philosophy - PhD Architecture, Doctor of Philosophy - PhD Architecture at University of Bath
languagesSpanish
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Github Skills (49)

rhinoceros10
object-model10
machine-learning10
gis10
adapter10
engine10
scripting9
geometry9
openstreetmap9
utility9
rhino8
grasshopper8
coordinates8
python7
sun6

Programming languages (6)

C#JavaJavaScriptJupyter NotebookMarkdownPython

Github contributions (5)

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BHoM/OpenStreetMap_Toolkit

Nov 2019 - Feb 2022

Tools for working with OpenStreetMap
Contributions:3 reviews, 134 commits, 41 PRs in 2 years 3 months
openstreetmapbhomadaptergis
rolyhudson/climacolombia

Jul 2018 - Jul 2019

This is the code and documention repository for Roland Hudson's dissertation project for a Master of Science in Software Engineering at the University of Liverpool. The code defines a distributed, machine-learning application that classifies Colombian climate data and provides decision support to environmental designers seeking to understand the spatial and temporal use of low-energy design strategies.
Contributions:2 PRs, 79 pushes, 4 branches in 1 year
climatespatialuniversity-of-liverpoolengineeringscience
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