Imani Okafor, mlops engineer

Imani Okafor

Senior MLOps Engineer

Nairobi, Kenya · Africa/Nairobi (UTC+3) · 7 years of experience

Imani focuses on reproducible model delivery, promotion controls, observability, and rollback.

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Why this profile fits

Reproducible model delivery

Versions code, data references, configuration, and artifacts so training and promotion can be repeated and audited.

Safe promotion and rollback

Uses evaluation gates, staged rollout, lineage, and a tested rollback path for model changes.

Operational measurement

Monitors service health, data quality, drift, cost, and model behavior with clear ownership.

Relevant toolkit

PythonKubernetesMLflowTerraformCI/CD

Delivery evidence

Selected work

Forecast Training Platform

energy distribution

Designed and delivered a production ML platform focused on forecasting model operations; cut failed scheduled training runs by 73% and standardized rollback across six forecast families. The release included reproducible pipelines, promotion gates, lineage, drift alerts, and a documented rollback path.

PythonKubernetes

Data Drift Response Workflow

energy distribution operations

Built the supporting control and measurement layer for the primary system, covering review queues, regression checks, operational visibility, and a documented handoff to the owning team.

PythonTerraform
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Relevant experience

Career timeline

Senior MLOps Engineer

2024–Present

Devlyn client assignments · Remote

  • Led forecasting model operations delivery for a energy distribution team and cut failed scheduled training runs by 73% and standardized rollback across six forecast families.

MLOps Engineer

2020–2023

energy distribution product company (confidential) · Nairobi, Kenya

  • Built production systems in energy distribution, with increasing ownership of reliability, testing, and stakeholder delivery.

Skill depth

Show experience in context.

VerbalCommunicationDomainUnderstandingProblemSolvingCodeQualitySystemDesignDeliverySpeed
Competency shapeAssessment across the same six dimensions used for every profile.

Relevant experience by skill

Python7 years
Kubernetes6 years
MLflow5 years
Terraform4 years
CI/CD7 years
Model Monitoring6 years
See the complete skill index

Languages

PythonTypeScriptSQLBash

Frameworks

KubernetesMLflowTerraformKubeflowAirflowDocker

Tools

Argo CDPrometheusGreat ExpectationsGitHub ActionsDocker

Platforms

AWS SageMakerGoogle Vertex AIDatabricksKubernetes

Storage

S3Feature StoreDelta LakePostgreSQL

Paradigms

Model lifecycle automationGitOpsDrift monitoringReproducible training

Credentials

Certifications

Databricks Certified Machine Learning Professional

Databricks · 2024 · Certified

Certified Kubernetes Administrator

Cloud Native Computing Foundation · 2023 · Certified

Communication

Languages

English

Fluent

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