Julien Debache
AI Developer Technology Engineer at NVIDIA
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolJulien Debache is an AI Developer Technology Engineer based in Zurich with a decade of experience blending quantitative finance and engineering. He moved from hands-on quantitative development and portfolio construction roles at InvestCloud and InCube to a platform-focused AI role at NVIDIA, bringing strong mathematical training (Master’s in Mathematics) and a taste for practical research. Julien’s background spans full-stack and systems work—from C++/Python automation and Arduino projects to Scala/TypeScript web services and Java EE databases—reflecting an ability to bridge prototype research and production systems. He has field experience in geological data collection and 3D modelling, an unusual cross-disciplinary strength that informs his data-driven approach. Colleagues can expect someone who combines rigorous quantitative thinking with pragmatic engineering to deliver deployable AI and financial-software solutions.
10 years of coding experience
4 years of employment as a software developer
Master’s Degree, Mathematics, 5, Master’s Degree, Mathematics, 5 at Université de Fribourg/Universität Freiburg
French, English
Stackoverflow
339reputation
28kreached
4answers
11questions
Github Skills (187)
option-type10
python10
api-client10
gpu10
rest-api10
cpp10
runtimes10
maui10
dotnet10
llm-inference10
api10
sdk10
rest10
transformer10
gpt10
Programming languages (15)
Github contributions (5)
jdebache/vllm
Apr 2025 - Jul 2026
A high-throughput and memory-efficient inference and serving engine for LLMs
Contributions:2 reviews, 1 PR, 109 pushes in 1 year 3 months
inference
hypdeb/TensorRT-LLM
Mar 2025 - Feb 2026
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:78 pushes, 20 branches in 10 months
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