Martin Mehringer
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolMartin Mehringer is a financial engineering and quantitative analysis professional based in Zurich with a decade of experience building algorithmic trading strategies and quantitative models. He combines rigorous academic training—holding a Master's from Technische Universität München and a PhD from ETH Zurich—with practical software engineering skills in Java, MATLAB, and distributed systems. Martin designs efficient algorithms and data structures for high-performance trading infrastructure and applies machine learning and optimization techniques to complex financial problems. He has led distributed, cross-functional R&D teams and champions agile CI/CD practices to move research into reliable production systems. Notably, his background blends deep scientific computing expertise with hands-on systems engineering, enabling both model innovation and scalable implementation.
10 years of coding experience
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Eidgenössische Technische Hochschule ZürichMaster's degree, Master's degree at Technische Universität München
Github Skills (22)
option-type10
nullable10
csharp-core8
toolbox8
in-memory7
csharp7
java7
jupyter-kernels7
parquet7
apache-arrow6
graph6
apache6
jupyter-notebook5
scala5
spark4
Programming languages (3)
Github contributions (5)
incube-group/core
Jun 2018 - Apr 2019
InCube Core libraries for C#
Contributions:1 release, 118 commits, 23 pushes in 9 months
nullablefunctional-programingoption-typecsharp-corecsharp
NVIDIA/TensorRT-LLM
Oct 2023 - Apr 2025
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
Contributions:5 reviews, 5 PRs, 1 push in 1 year 5 months
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