Marcin Malinowski
Financial Systems Developer at Virtu Financial
Singapore
Summary
👤
Senior🎓
Top SchoolMarcin Malinowski is a Financial Systems Developer based in Singapore with 11 years of software engineering experience, currently building low-latency trading systems at Virtu Financial. He combines a strong .NET and C# background with full-stack experience (React, Python/Flask, SQL Server) and recent AI training from the University of Edinburgh, blending practical production engineering with machine learning insight. At Microsoft and across finance-focused roles he has shipped resilient microservices and automation; his open-source contributions to Math.NET Numerics improved complex-number accuracy and numerical stability, showing attention to edge cases like overflow, infinity and NaN. Curious and detail-oriented, he pairs rigorous mathematical training with hands-on testing and automation to deliver reliable, high-performance financial software.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Artificial Intelligence, distinction, Master's degree, Artificial Intelligence, distinction at The University of EdinburghBachelor's degree, Mathematics and Computer Science, 4/5, Bachelor's degree, Mathematics and Computer Science, 4/5 at Jagiellonian University
Polish, English
Github Skills (10)
unit-testing10
mathematics10
nunit10
numerics10
csharp10
math10
numeric10
linear-algebra10
dotnet-core10
matrix9
Programming languages (5)
Github contributions (5)
mathnet/mathnet-numerics
Jan 2016 - Jan 2016
Math.NET Numerics
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:9 commits, 3 PRs, 7 comments in 2 days
Contributions summary:Marcin primarily focused on improving the accuracy and robustness of complex number calculations within the Math.NET Numerics library. They implemented enhancements to magnitude and division algorithms, addressing potential overflow issues and improving the handling of edge cases, such as infinity and NaN values. Furthermore, the user added and expanded unit tests to validate the correctness of the implemented changes and ensure the overall reliability of the complex number operations. Their work improved the numerical stability and accuracy of core mathematical functionalities.
mathnetfsharpmatrixroot-findingstatistics
DrimTim32/py_proj_lights
Nov 2016 - Jul 2020
Optymalizator sygnalizacji
Contributions:57 PRs, 164 pushes, 21 branches in 3 years 8 months
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