Ukri Niemimuukko
Cloud SW Engineer at Intel Corporation
Pirkkala, Pirkanmaa, Finland
Summary
👤
Senior🎓
Top SchoolUkri Niemimuukko is a Cloud Software Engineer with over two decades of software experience and 14 years focused on cloud and systems work, currently building cloud-native device tooling at Intel. A polyglot engineer proficient in C/C++/Java and Go (with Python for scripting), he blends embedded systems expertise—porting and adapting OSes like Android, Maemo/Meego and Symbian—with modern Kubernetes, Prometheus, Grafana and Docker-based operations. He is an active open-source contributor, notably improving Intel’s device plugins for Kubernetes to enhance GPU resource management and fractional allocation, and has contributed to OpenMAX IL and Prometheus. A strong believer in Git/Gerrit workflows and CI-driven development, he brings practical experience reducing topology scans, improving sysfs interactions, and integrating NFD hooks to simplify pod scheduling. Based in Pirkkala, Finland, he combines low-level hardware sensitivity with cloud-scale orchestration skills that help bridge device constraints to production-grade infrastructures.
13 years of coding experience
Master's degree, Master's degree at Teknillinen korkeakoulu-Tekniska högskolan
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (11)
kubernetes10
go10
cloud-computing10
kubernetes-pods10
dockers9
edge-computing9
docker9
cicd7
5g7
azure-aks6
kube-scheduler6
Programming languages (7)
Github contributions (5)
intel/intel-device-plugins-for-kubernetes
Apr 2020 - Dec 2022
Collection of Intel device plugins for Kubernetes
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:191 reviews, 47 commits, 53 PRs in 2 years 8 months
Contributions summary:Ukri contributed significantly to the Intel device plugins for Kubernetes, focusing on improvements and new features for GPU device management. They implemented code to reduce topology scanning, improved memory reading from sysfs, and added functionality for fractional resource management. Furthermore, the user added an nfd-hook for the GPU plugin, creating labels for easier pod deployment and resource management. They also addressed build and deployment related issues in operator parts.
swrepoedge-computingcloud-computingintelcloud
uniemimu/intel-device-plugins-for-kubernetes
Apr 2020 - Jan 2025
Collection of Intel device plugins for Kubernetes
Contributions:107 pushes, 47 branches in 4 years 10 months
kubernetesintel
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