Max De Bayser
Senior Research Software Engineer at IBM
Rio de Janeiro, Brazil
Summary
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Rockstar🎓
Top SchoolMax De Bayser is a Senior Research Software Engineer with 14 years of experience building foundational software—from OS-level components and C++ frameworks to cloud orchestration and AI inference systems. At IBM he bridges prototypes to products, contributing to watsonx.ai and high-throughput LLM serving work such as the popular vLLM project where he fixed critical multiprocessing and tool-use issues. He excels at systems thinking, designing for performance, scalability and developer productivity across the full stack, and has hands-on MLOps experience scaling LLM training data pipelines with Ray. Earlier research work at CPTI/PUC-Rio gave him deep exposure to embedded and signal-processing software, reinforcing a pragmatic, cross-disciplinary approach. Colleagues value his global collaboration style and focus on building reusable foundations that enable others to deliver.
14 years of coding experience
6 years of employment as a software developer
Pontifical Catholic University of Rio de Janeiro
German, French, Portuguese, Spanish, English
Stackoverflow
1,066reputation
17kreached
4answers
4questions
Github Skills (20)
pytorch10
python10
lm10
inference10
llm10
mlops10
transformer10
serve10
openai-api9
cuda9
roc7
elasticsearch6
istio6
nginx6
fluentd6
Programming languages (14)
Github contributions (5)
vllm-project/vllm
May 2024 - Mar 2025
A high-throughput and memory-efficient inference and serving engine for LLMs
Role in this project:
Back-end & MLOps Engineer
Back-end & MLOps EngineerContributions:104 reviews, 29 PRs, 173 comments in 10 months
Contributions summary:Max primarily focused on bug fixes and feature enhancements within the VLLM project, which focuses on serving and inference of LLMs. Their contributions included resolving issues related to server crashes, especially in the context of multiprocessing and empty prompts. They also added support for new tool use features in the Llama 3 models, and implemented tool call fixes. This suggests involvement in the core engine functionality and API interactions.
amdcudagpthpuinference
maxdebayser/SelfPortrait
Mar 2012 - May 2016
Contributions:195 commits, 60 pushes in 4 years 2 months
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