OpenMed MLOps
A resource-conscious healthcare MLOps demo: synthetic readmission modelling on Kubernetes, with reproducible pipelines and experiment tracking.
Research meets real-world systems
Making complex
systems dependable.
I’m Joseph Adeleke — a PhD student in Computer Science, DevSecOps & MLOps engineer, and Database Administrator. Exploring how cloud systems can do more, with less uncertainty.
DevSecOps & MLOps
Database Administration
CLOUD COMPUTING & DISTRIBUTED SYSTEMSA closer look
01 / The inquiryRESEARCH DIRECTION
Less uncertainty.
More possibility.
How can complex cloud workflows stay reliable when execution conditions don’t?
My research interests connect distributed systems, statistical learning, and optimisation to explore cost-efficient workflow scheduling under runtime uncertainty.
Read my research profile A systems perspectiveFIG. 01
Map the dependencies.
Conceptual illustration · Research directionComplex jobs become connected tasks. My research interests explore how to schedule them efficiently under deadline constraints.
02 / In practiceAll projects
Ideas, put to work.
Selected projects across machine learning and infrastructure automation.
Infrastructure as code
A reproducible Nginx deployment, provisioned with Terraform and containerised with Docker.
03 / Built on experienceResearch curiosity.
Research curiosity.
Production mindset.
From enterprise platforms to experimental workflows, my work is grounded in the systems people depend on.
Explore my experience- 150+
- CI/CD pipelines managed
across enterprise delivery - 10
- Kubernetes clusters
across development and production - 5+
- Years of experience
in enterprise technology
Let’s connect
the possibilities.
Research ideas, thoughtful collaborations,
and ambitious engineering challenges.