Ian Worthington
AI Solutions Architect at Calendr
Osaka, Japan
Summary
👤
Senior🎓
Top SchoolIan Worthington is an AI Solutions Architect and global tech lead based in Osaka with 12 years of engineering and leadership experience, currently driving delivery of a large, multi-team software system at FPT Software. He blends hands-on software engineering (Angular + .NET stacks) and product ownership—having founded Calendr—with consulting and project management for major enterprise clients. His background includes building EDI systems for supply chains, scaling operational teams in education, and contributing QA/test automation to the popular QuantConnect/Lean algorithmic trading engine to improve data aggregation reliability. Fluent in Japanese and experienced across consulting, design, and delivery, he excels at navigating multicultural teams to turn complex requirements into pragmatic, production-ready solutions.
12 years of coding experience
8 years of employment as a software developer
BS, Computer Science, BS, Computer Science at The University of ManchesterBridgewater HighschoolSir John Deanes College
japanese (intermediate), English
Stackoverflow
1,535reputation
356kreached
80answers
37questions
Github Skills (18)
algorithm10
algorithms10
trading10
testing10
finance10
dotnet-core10
engine10
csharp10
algorithmic-trading10
test-automation10
entityframeworkcore-migrations6
angular6
iis-express6
asp-net6
entity-framework6
Programming languages (16)
Github contributions (5)
QuantConnect/Lean
Jan 2018 - Jun 2018
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:10 commits, 12 PRs, 93 comments in 5 months
Contributions summary:Ian primarily focused on improving the testing of the `lean` algorithmic trading engine. They wrote and modified tests for various components, including `HeikinAshi`, `QuoteBar`, `TradeBarConsolidator`, `TickQuoteBarConsolidator`, and `BaseDataConsolidator`. Their contributions involved testing for correct behavior, particularly related to the `EndTime` property of data objects, and ensuring data aggregation functions correctly. These changes indicate a focus on improving the reliability and correctness of the data handling within the trading engine.
algorithmic-trading-enginepythonpinescriptbacktesting-trading-strategiesc-sharp
worthy7/Lean
Jan 2018 - Jul 2022
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)
Contributions:4 PRs, 21 pushes, 65 branches in 4 years 6 months
pythonalgorithmic-tradingtrading-botalgorithmic-trading-enginequantconnect
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