Tim Seaward
Co-Founder at Cetus Quantitative Trading
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolTim Seaward is a co-founder and seasoned software engineer with nine years of focused experience building high-performance, cloud-native electronic trading and risk systems. He combines deep low-latency expertise—multi-threading, CUDA, and realtime trading—with enterprise-grade tooling such as SQL Server and Microsoft-certified practices to deliver cross-asset platforms that handle everything from vanilla to exotic instruments. As Co-Founder of Pltfm and director of Draweas Consulting, he translates trader requirements into scalable architecture and production-ready execution engines. His background includes building automated commodities trading systems at BNP Paribas and hands-on roles in principal and lead engineering positions, giving him both trading domain fluency and implementation rigor. An active contributor to performance-critical open-source work, he optimized ImageSharp’s PNG decoder with bulk pixel operations and zlib stream refinements—evidence of his knack for squeezing latency and throughput out of complex codebases. Based in London, he pairs entrepreneurial drive with a pragmatic engineering style that favors measurable performance gains and robust system design.
9 years of coding experience
11 years of employment as a software developer
Carich
Stackoverflow
194reputation
7kreached
7answers
0questions
Github Skills (21)
image-processing10
performance-optimization10
png10
csharp10
data-structure9
algorithm9
dotnet9
algorithms9
graphic9
imagesharp9
net9
asp-net9
data-structures9
netcore6
async-await6
Programming languages (8)
Github contributions (5)
SixLabors/ImageSharp
Apr 2017 - Apr 2017
:camera: A modern, cross-platform, 2D Graphics library for .NET
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 commits, 5 PRs, 8 comments in 4 days
Contributions summary:Tim focused on performance improvements and code optimization within the ImageSharp library, specifically targeting the PNG decoder. They addressed issues related to data deframing and pixel processing, leading to faster image decoding. The user implemented bulk pixel operations to improve performance, and refactored parts of the code, including adjustments to interlaced PNG decoding logic and the Zlib compression stream.
bmpvulkancamerac-sharpjpeg
Drawaes/CharlotteDB
Oct 2017 - Dec 2017
Contributions:26 commits, 18 pushes, 3 branches in 1 month
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