Resume
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Summary
DevOps and MLOps engineer focused on dependable machine learning delivery. I combine platform engineering, observability, and database fundamentals to keep releases fast, auditable, and resilient.
- Orchestrated ML pipelines that move models from experiment to production with automated validation.
- Delivered infrastructure-as-code foundations across AWS, on-prem, and hybrid environments.
- Supported critical Oracle estates with performance tuning, HA, and upgrade strategies.
Experience
MLOps Consultant
2023 — PresentDesigning ML platforms, governance, and observability for data science teams shipping to production.
- Implemented automated model validation, registry promotion, and drift detection.
- Scaled Kubernetes deployments with progressive delivery and feature flag rollouts.
Skills
Python
MLflow
Kubernetes
GitHub Actions
Terraform
Observability
Oracle DBA
Linux
Education
MSc Computer Science — focused on distributed systems, MLOps, and applied machine learning research.
- Graduate research on observability patterns for streaming ML workloads.
- Teaching assistant for systems engineering and automation courses.
Contact
Email akdeljoseph@outlook.com for availability, project scoping, or referrals.
LinkedIn joseph-adeleke • GitHub @jadeleke.