Mubarak Jibril
Member Of Technical Staff at FluidStack
Nigeria
Summary
👤
Senior🎓
Top SchoolMubarak Jibril is a seasoned Member of Technical Staff and cloud-focused software engineer with 11 years of experience building and operating large-scale GPU and AI infrastructure. He blends hands-on DevOps and cloud engineering—contributing to open-source projects like SkyPilot to add FluidStack provisioning and support for modern GPUs—with strategic leadership from prior roles running ICT and digital transformation at a national financial intelligence agency. His background includes PhD-level communications engineering research, practical systems design across hardware-software integrations, and experience training and fine-tuning models at OpenAI/Turing. Known for turning complex distributed systems into reliable, testable platforms, he brings both academic rigor and operational discipline to high-growth AI infra. An atypical detail: he pairs deep signal-processing and error-correction research pedigree with pragmatic cloud provisioning work that enables instant H100 deployments for real-world AI labs.
11 years of coding experience
7 years of employment as a software developer
B.Eng, Electrical/Electronic, B.Eng, Electrical/Electronic at Bayero University, KanoDoctor of Philosophy (PhD), Communications Engineering, Doctor of Philosophy (PhD), Communications Engineering at University of Plymouth
Github Skills (11)
manage10
cloud-computing10
python10
devops10
cloud-manager10
gpu9
pytest8
kubernetes6
kubernetes-pods6
spot-instances5
cost-management5
Programming languages (5)
Github contributions (5)
skypilot-org/skypilot
Jun 2023 - Mar 2025
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 14+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
Role in this project:
Cloud Engineer & DevOps Engineer
Cloud Engineer & DevOps EngineerContributions:5 reviews, 5 PRs, 10 comments in 1 year 9 months
Contributions summary:Mubarak primarily focused on integrating and improving the SkyPilot project's support for the FluidStack cloud provider. Their contributions involved implementing FluidStack provisioning using the Provisioner interface, updating the FluidStack API, and adapting the system to new GPU types like NVLINK and H100-SXM. They also addressed code formatting issues and improved the test suite for FluidStack. Moreover, the user contributed to automating the testing process by adding and modifying pytest marks to address specific cloud configurations.
pythonspot-instancesserverlesstpuml-infrastructure
fluidstackio/skypilot
Jul 2023 - Mar 2025
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Contributions:57 pushes, 7 branches in 1 year 8 months
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