Simon Smith
CTO at Lightmap
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolSimon Smith is a seasoned CTO and software engineer based in the United Kingdom with over nine years of professional experience and a career stretching back to the early 2000s across games and tools engineering. He leads technology at Lightmap, combining leadership with hands-on development skills honed at companies like SN Systems, Pivotal Games, and Rage Games. Comfortable across the full stack, he has contributed meaningful UI and installer improvements to the popular open-source DeepSkyStacker project, including layout scaling, processing progress feedback, and more robust file handling. His academic background in Physics with Astrophysics and an MSc informs a pragmatic, measurement-driven approach to software problems. Colleagues know him for turning complex graphics and tooling requirements into usable products while maintaining a practical focus on installer/UX polish that often goes unnoticed. He blends product-minded engineering with an appreciation for scientific rigor, making him effective at bridging research, user needs, and production delivery.
9 years of coding experience
11 years of employment as a software developer
MSc, MSc at University of NottinghamPhysics with Astrophysics (Hons), Physics with Astrophysics (Hons) at University of Leeds
Github Skills (17)
c-language10
ui-design10
uid10
front-end-development10
dotnet-core10
csharp10
cprogramming-language10
image-processing9
tiff9
installer9
installers9
file-processing8
file-handling8
file-access8
fileio8
Programming languages (3)
Github contributions (5)
deepskystacker/DSS
May 2018 - Jan 2023
DeepSkyStacker
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:32 commits, 3 PRs, 77 pushes in 4 years 8 months
Contributions summary:Simon primarily worked on enhancing the DeepSkyStacker application, focusing on both UI and functionality. They implemented a new layout update function to scale the picture and file list, along with a control cache class. The user also added a progress bar for a processing dialog and enhanced the installer with features like custom installation locations, verbose installation details, and license acceptance. Further contributions include fixing luminance calculations, and improvements to the input filters for file selection.
deep-learningpytorchcomputer-visionmachine-learning
SimonCSmith/DSS
Apr 2018 - Apr 2018
Contributions:1 push in 1 day
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