Oliver König
Senior MLOps Engineer at NVIDIA
Denmark
Summary
🤩
Rockstar🎓
Top SchoolOliver König is a Senior MLOps Engineer based in Denmark with eight years of experience building, testing, and releasing large-scale deep learning containers and production ML systems. Currently at NVIDIA, he focuses on benchmarking and publishing GPU-optimized containers for state-of-the-art DL frameworks, combining deep ML knowledge with operational rigor. Previously he built CI/CD pipelines, Kubernetes deployments, cost-optimization and monitoring for ML at Deutsche Post DHL, and mentored junior engineers while authoring internal tools and guides. His background as a data scientist in industrial settings gives him strong hands-on expertise in anomaly detection, data engineering, and model stress-testing. He blends research-driven thinking from a Leiden MSc in Data Science with practical automation and test-system engineering evident in his GitHub work. Colleagues would note his knack for turning complex ML stacks into reproducible, efficient release artifacts that scale on GPUs.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science: Data Science, Master of Science - MS Computer Science: Data Science at Leiden UniversityBachelor of Science - BS Information Engineering and Management, Bachelor of Science - BS Information Engineering and Management at Karlsruhe Institute of Technology (KIT)
English, German
Github Skills (81)
transformers10
memory-efficient10
python10
text-to-speech10
automatic-speech-recognition10
transformer-models10
huggingface10
deep-learning10
speech10
machine-translation10
rl-environment10
multimodal10
data-preprocessing10
ai10
generative-ai10
Programming languages (6)
Github contributions (5)
ko3n1g/Megatron-LM
Aug 2025 - Jul 2026
Ongoing research training transformer models at scale
Contributions:582 pushes, 228 branches in 10 months
NVIDIA-NeMo/Export-Deploy
Jul 2025 - Jun 2026
A library for exporting models including NeMo and Hugging Face to optimized inference backends, and deploying them for efficient querying
Contributions:23 reviews, 70 PRs, 228 pushes in 10 months
huggingfaceinference
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