Omar Khalil, mlops engineer

Omar Khalil

Senior MLOps Engineer

Cairo, Egypt · Africa/Cairo (UTC+3) · 8 years of experience

Omar 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

Clinical Model Promotion System

diagnostic technology

Designed and delivered a production ML platform focused on medical-imaging model controls; introduced traceable dataset and model promotion controls across three clinical products. The release included reproducible pipelines, promotion gates, lineage, drift alerts, and a documented rollback path.

PythonKubernetes

Dataset Provenance Registry

diagnostic technology 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 medical-imaging model controls delivery for a diagnostic technology team and introduced traceable dataset and model promotion controls across three clinical products.

MLOps Engineer

2019–2023

diagnostic technology product company (confidential) · Cairo, Egypt

  • Built production systems in diagnostic technology, 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

Python8 years
Kubernetes7 years
MLflow6 years
Terraform5 years
CI/CD8 years
Model Monitoring7 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

Google Cloud Professional Machine Learning Engineer

Google Cloud · 2026 · Certified

Google Cloud Professional Cloud DevOps Engineer

Google Cloud · 2025 · Certified

Communication

Languages

English

Fluent

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