Tikiri Wicks
Technical Architect - Data Governance - Global Business Process
Auckland, Auckland, New Zealand
Summary
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SeniorTikiri Wicks is a Technical Architect and senior enterprise systems designer with nine years in leadership roles and two decades of hands-on software and systems engineering across ERP, EDI, cloud data warehouses and bespoke integration platforms. At Ingram Micro he leads data governance and transformation efforts harmonizing SAP and legacy ERP flows into cloud warehouses, and previously architected a B2B automation platform that processed nearly one million transactions annually and automated over 35% of regional B2B traffic. He combines deep integration experience (EDI, JMS, SAP WebServices) with practical incident leadership and performance engineering—skills honed on high-throughput Tandem and frame-relay systems as well as modern cloud stacks. A serial founder and longtime R&D director, he blends entrepreneurial product instincts with rigorous architecture discipline, often delivering custom data transport, real-time collaboration and scaling innovations. Not obvious from titles: he repeatedly builds bespoke tooling (socket pooling, RPC/data compression layers, and auto-scaling transport) to solve latency and throughput limits rather than buying third-party solutions. Based in Auckland, he focuses on turning complex cross-system data challenges into auditable, governed pipelines.
9 years of coding experience
10 years of employment as a software developer
English, Spanish
Github Skills (34)
dotnet8
keras8
deploying8
scisharp8
csharp8
serializer7
machine-learning-models7
chatbot6
deep-learning6
machine-learning6
linux6
xamarin6
serialization6
desktop6
messagepack5
Programming languages (1)
Github contributions (5)
tcwicks/ChillX
Apr 2022 - May 2022
Contributions:63 commits, 49 pushes, 1 branch in 1 month
tcwicks/TensorFlow.NET
Mar 2020 - Oct 2021
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C#.
Contributions:2 PRs, 3 pushes, 2 branches in 1 year 7 months
deployingdotnetdevelopingdeploying-machine-learningmachine-learning
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