O

Olumide Jegede

About

Detail

Texas, United States

Timeline


work
Job
folder
Project

Résumé


Jobs verified_user 0% verified
  • M
    Snr Cloud Engineer
    Mercola.com
    Sep 2025 - Current (1 year)
    I led the cloud infrastructure implementation for an enterprise AI/ML platform built on Azure. My responsibilities included provisioning Azure Machine Learning workspaces, deploying Azure OpenAI (GPT-4 and embedding models), configuring GPU-enabled compute clusters for model training and inference, and building Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and Blob Storage. I automated the entire AI infrastructure with Terraform and Bicep, implemented CI/CD pipelines through Azure DevOps and GitHub Actions, and integrated monitoring, security, identity management, and compliance controls for production workloads. I worked closely with data scientists and application engineers to provide a scalable, secure, and reliabl
  • Modivcare
    Devops Engineer
    Modivcare
    Feb 2025 - Nov 2025 (10 months)
    Designed and deployed scalable Azure cloud infrastructure including Virtual Machines, App Services, AKS, and Azure Functions to support business-critical and AI-driven workloads. • Provisioned and managed Azure OpenAI Service endpoints, configuring GPT-4 and text-embedding model deployments, enforcing responsible AI usage policies, quota limits, and private networking via Private Endpoints. • Built and operationalized Azure Machine Learning workspaces, including compute clusters, managed online endpoints, and automated ML pipelines for model training and inference at scale. • Architected Retrieval-Augmented Generation (RAG) pipelines integrating Azure OpenAI with Azure AI Search and Blob Storage, enabling intelligent document search and AI-
  • D
    Devops Engineer
    Jan 2022 - Nov 2023 (1 year 11 months)
    Designed and maintained scalable and secure AWS infrastructure using Terraform and AWS services (EC2, S3, VPC, EKS, RDS, ECR). • Managed infrastructure across multiple AWS accounts and regions using VPC, EC2, RDS, and Auto Scaling Groups (ASG). • Maintained infrastructure compliance and security using AWS Control Tower, CloudWatch, and AWS Systems Manager. • Developed and maintained Bitbucket CI/CD and AWS CodeDeploy pipelines to automate deployments across environments. • Conducted security audits and provided evidence to external auditors to demonstrate compliance with SOPs and regulations. • Created CloudWatch dashboards to monitor resource usage, application performance, and security events. • Ensured security compliance using HashiCorp
  • Fry's Electronics
    Devops Engineer
    Fry's Electronics
    Feb 2019 - Mar 2021 (2 years 2 months)
    Configured AWS IAM roles and policies to enforce least-privilege access for services interfacing with Azure-hosted systems. • Utilized AWS S3 for cross-cloud data archival and backup, integrating with Azure Data Factory pipelines for seamless data movement. • Deployed and maintained AWS Lambda functions to support event-driven integrations between AWS and Azure environments. • Implemented and managed Azure networking components including VNets, NSGs, Application Gateway, and Azure Front Door for secure and performant traffic routing across AI and application services. • Configured Azure Active Directory (Entra ID), RBAC policies, and Conditional Access to enforce least-privilege access across AI services and cloud resources. • Integrated Az
  • D
    Devops Engineer
    Jul 2016 - Aug 2018 (2 years 2 months)
    • Configured and managed Azure networking and security, leveraging ARM templates and PowerShell. • Automated deployment pipelines, reducing manual intervention and improving efficiency. • Configured monitoring and alerting systems to maintain application health and performance. • Patched multiple servers in Dev, Test, Pre-Prod, and Prod environments using the Ansible ad-hoc command.
Projects (professional or personal) verified_user 0% verified
  • P
    AI Knowledge Intelligence Platform (AKIP)
    Pearlz Consulting Group
    Feb 2024 - Feb 2025 (1 year 1 month)
    I served as the Cloud Infrastructure and MLOps Engineer for the AI Knowledge Intelligence Platform, an enterprise initiative that enabled intelligent document search and AI-powered knowledge retrieval. I designed and deployed Azure Machine Learning workspaces, managed GPU-enabled compute clusters, and provisioned Azure OpenAI (GPT-4 and embedding models) for production inference workloads. I built Retrieval-Augmented Generation (RAG) pipelines integrating Azure AI Search, Blob Storage, and vector search to support semantic search and question-answering capabilities. I automated the AI infrastructure using Terraform and Bicep, implemented CI/CD pipelines with Azure DevOps and GitHub Actions, and integrated monitoring, identity management, se