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David Adeyemi
Verified Expert in Engineering
DevOps Engineer and Developer
Fort Worth, TX, United States
Toptal member since May 9, 2025
Bio
David is a DevOps engineer with about six years of proven success in designing, building, and managing resilient, highly available, and cost-optimized cloud-based solutions. He has extensive experience in Kubernetes, infrastructure as code (IaC), CI/CD pipelines, and MLOps. A lifelong learner dedicated to staying ahead of evolving technologies, David has improved deployment efficiency and optimized performance using cutting-edge tools such as Terraform, Ansible, and Argo CD.
Portfolio
Charles Schwab
IBM WebSphere, Apache Tomcat, Terraform, Ansible, JBoss, Jenkins...
IBM
Python, Jupyter Notebook, Argo CD, Terraform, Ansible...
All Axis Machining
Amazon EC2, Amazon S3 (AWS S3), Amazon Virtual Private Cloud (VPC)...
Experience
- DevOps - 5 years
- Ansible - 5 years
- Python - 5 years
- Argo CD - 5 years
- Azure - 5 years
- Machine Learning Operations (MLOps) - 5 years
- Machine Learning - 5 years
- Terraform - 5 years
Preferred Environment
MacOS, Node.js
The most amazing...
...thing I've done involved creating videos using IBM technology covering a range of DevOps and MLOps topics.
Work Experience
Senior Cloud Engineer
2025 - PRESENT
Charles Schwab
- Wrote Groovy pipeline scripts, Ansible playbooks, Terraform files, Docker-compose files, and Kubernetes manifest files to automate the CI/CD processes and ensure consistent and reliable deployments.
- Coordinated with vice presidents, managers, and some colleagues to accomplish strategic bank initiatives and foster teamwork across various cloud projects.
- Utilized Agile development, Scrum methodologies, and integrated Atlassian tools, such as Jira, Bitbucket, and more, for continuous integration, documentation, and project management.
- Wrote Terraform code to provision and manage cloud infrastructure services in multi-cloud environments, automating resource scaling based on usage metrics.
- Managed builds for IAC pull requests using Jenkins triggered by webhooks to ensure continuous testing requirements are met as per regulatory rules.
- Used Ansible to configure and install middleware components.
- Authored Ansible Playbooks for setting up CI/CD pipelines and deploying microservices to AWS environments.
- Managed infrastructure provisioning on Websphere, Apache, Tomcat, Weblogic, and JBoss application servers using Terraform. Automating app deployments with Infrastructure-as-Code (IaC) practices.
Technologies: IBM WebSphere, Apache Tomcat, Terraform, Ansible, JBoss, Jenkins, Google Cloud Platform (GCP), Infrastructure as Code (IaC), CI/CD Pipelines, Kubernetes, Grafana, DevOps
Cloud and MLOps Engineer
2020 - 2023
IBM
- Established IaC practices within the data science group using Kubernetes as the foundation for scalable, cloud native infrastructure.
- Designed and maintained a CI/CD pipeline for a cloud native tool used by the managerial team, achieving 60% time savings through integrating Travis CI and Docker.
- Enhanced ETL pipelines using Tekton to improve the acquisition of data utilized by the data analytics teams, speeding up data ingestion and processing.
- Developed MLOps pipelines for deploying engineered feedback LLMs using Kubeflow and Argo CD, eliminating eight hours of monthly downtime for model deployment and management.
- Delivered monthly monitoring reports to executives and managerial teams, detailing updates, improvements, and key insights across five deployed ML models, enhancing transparency and decision-making.
- Automated routine data science tasks by developing and organizing a runbook of Python and Bash scripts, streamlining workflows, and minimizing manual intervention.
- Created and integrated Kubernetes into the infrastructure stack, managing various Kubernetes objects like ReplicaSets, deployments, ConfigMaps, and secrets to ensure the scalability and reliability of machine learning model deployments.
- Developed LLMs based on BERT, DistilBERT, and proprietary IBM Granite foundation models as text classification and question answering solutions.
- Supported LLMs in deployment using model automation and observability using MLFlow.
- Developed automated deployments for MLOps pipelines using Terraform and Ansible, ensuring reproducibility and consistency across development, staging, and production environments.
Technologies: Python, Jupyter Notebook, Argo CD, Terraform, Ansible, Large Language Models (LLMs), Docker, Travis CI, Jenkins, Machine Learning Operations (MLOps), Prometheus, Linux
Cloud Engineer
2018 - 2020
All Axis Machining
- Supported the merger of two internal systems into one cohesive enterprise resource planning (ERP) following the acquisition of another entity.
- Consulted with cross-functional leaders to gather requirements and translate business needs into technology solutions.
- Wrote IaC using Terraform to manage AWS resources like EC2, S3, VPC, Route53, EKS, and IAM.
- Participated in release meetings with technology stakeholders to identify and mitigate potential risks.
- Automated AWS image creation using CloudFormation templates.
- Created Terraform modules for consistent infrastructure provisioning.
- Developed one-click Jenkins pipelines for platform deployment, integrating Terraform, Kubernetes, and Helm.
- Automated deployment, scaling, and application management by developing Kubernetes clusters and Terraform modules.
- Wrote YAML manifests for creating pods, deployments, services, and ConfigMaps, as well as stateful and daemon sets.
- Created Docker containers for Java Spring Boot, Node.js, Python, and .NET applications.
Technologies: Amazon EC2, Amazon S3 (AWS S3), Amazon Virtual Private Cloud (VPC), Amazon Route 53, Robotics, Robotics Product Manager
Experience
IBM Technology Influencer
https://youtu.be/p-kAqxuJNik?si=VyozVt6wxdhNXe8LCollaborated with the IBM technology YouTube team to create periodic videos about different technology topics. I took the liberty of choosing topics within the general lane of MLOps, but also ventured into hard data science topics.
Education
2019 - 2021
Master's Degree in Computer Engineering
University of North Texas - Denton, Texas, USA
2016 - 2019
Bachelor's Degree in Computer Engineering
University of North Texas - Denton, Texas, USA
Certifications
MARCH 2025 - MARCH 2026
Terraform Associate
HashiCorp
Skills
Libraries/APIs
Node.js
Tools
Terraform, Ansible, Grafana, Amazon Virtual Private Cloud (VPC), Travis CI, Jenkins, Apache Tomcat, GitLab
Languages
Python, JavaScript
Paradigms
DevOps
Platforms
Azure, Kubernetes, Linux, MacOS, Amazon EC2, Jupyter Notebook, Docker, IBM WebSphere, JBoss, Google Cloud Platform (GCP)
Storage
Amazon S3 (AWS S3)
Other
Machine Learning Operations (MLOps), Open-source LLMs, Argo CD, Machine Learning, Prometheus, Software Development, Computer Engineering, Amazon Route 53, Robotics, Robotics Product Manager, Large Language Models (LLMs), AIOps, GitOps, CI/CD Pipelines, Infrastructure as Code (IaC)
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