Ebenezer Akinoluyemi
Verified Expert in Engineering
Solutions Architect and Developer
Richmond, TX, United States
Toptal member since March 10, 2026
Ebenezer is a principal solutions architect with 17+ years of experience designing enterprise AI and multi-cloud architectures across Azure, AWS, and GCP. He specializes in agentic AI systems, MLOps, RAG pipelines, and DevSecOps, helping organizations operationalize AI at scale. Ebenezer bridges cutting-edge AI research and enterprise delivery, turning complex technical challenges into measurable business outcomes.
Portfolio
Experience
- Azure - 11 years
- Solution Architecture - 10 years
- Microservices Architecture - 9 years
- Google Cloud Platform (GCP) - 6 years
- MLflow - 4 years
- Cloud AI Services - 4 years
- Agentic Frameworks - 3 years
- Retrieval-augmented Generation (RAG) - 3 years
Preferred Environment
Cursor AI, Visual Studio, Cloud Architecture, Hybrid Cloud Infrastructure, Cloud Security, Identity & Access Management (IAM), Terraform, Multi-tenant Architecture, Docker Compose, Podman, REST APIs, Transport Layer Security (TLS), OpenTofu, Amazon EC2, Amazon CloudWatch, Amazon Virtual Private Cloud (VPC), Bitbucket, Virtual Private Cloud (VPC), Networking, Application State Management, SOC 2, AWS Lambda, GitHub Actions, SOC Compliance, Bash, Fastlane, TestFlight, Python Script, API Gateways, Google Play Console, Azure Active Directory, IT Administration, Migration, Microsoft Azure, Containerization, Disaster Recovery Automation, Scripting, Cloud Infrastructure, Debugging, DigitalOcean, Droplets, Grafana, Continuous Delivery (CD), Site Reliability Engineering (SRE), PostgreSQL, Amazon DynamoDB, Amazon S3 (AWS S3), Amazon Cognito, AWS Amplify, Azure Service Bus, Cloud Networking, ETL Tools, Event-driven Architecture, Incident Response, Infrastructure Automation, Infrastructure Monitoring, Linux Administration, Message Queues, Neo4j, Node.js, React, Snowflake, PHP, HIPAA, HIPAA Compliance, Consulting, Infrastructure, System Administration, Cloud Platforms, Cloud, MacOS, Okta, Windows, Microsoft Entra, Endpoint Management, RAG Pipelines, AWS CloudFormation, TypeScript, Redshift, Amazon RDS, Java, Amazon CloudFront, Linux, Amazon Redshift, Amazon Aurora, AWS Cloud Development Kit (CDK), Amazon Route 53, GitLab CI/CD, GitLab
The most amazing...
...platform I've built is an enterprise AI solution on Azure, serving thousands through multi-agent orchestration and real-time observability.
Work Experience
Senior Site Reliability Engineer
WorkBoard Inc.
- Diagnosed and resolved recurring QA load-test failures by correcting a KEDA autoscaling normalization defect and parameterizing Apache worker limits, restoring reliable scaling under 30-user concurrency.
- Identified a silently broken container shutdown hook that dropped in-flight requests on every pod termination across four Helm charts, then shipped and empirically verified a graceful-drain fix.
- Traced recurring database outages to a CPU-saturated MySQL primary rather than the suspected network layer, avoiding a permanent infrastructure cost increase by delivering index and caching fixes.
- Hardened TLS across six production domains by removing four non-AEAD cipher suites from ten edge zones in a single change, closing an external security review finding with no client compatibility impact.
- Audited 1,525 Kubernetes workloads across five clusters for deployment ownership conflicts, isolating four genuinely broken releases and eliminating 78 false positives by correcting the method.
- Restructured an encryption key-rotation path to move an external KMS call outside an open database transaction and reorder archive writes, closing a window that could leave a rotation unrecoverable.
- Delivered SOC 2 CC6.4.5 compliance by implementing off-site PostgreSQL backups with an immutable backup vault across production environments.
- Decommissioned two retired cloud regions across 23 repositories, removing orphaned infrastructure references that were breaking production infrastructure deployments.
Senior Consultant
AI Technology Partners
- Engineered scalable RAG pipelines ingesting data from Snowflake and Databricks Lakehouse, standardizing indexing into MongoDB Atlas and Azure AI Search to enable real-time grounded retrieval across enterprise knowledge bases.
- Architected multi-agent ecosystems using LangGraph and AutoGen, establishing CI/CD pipelines via GitHub Actions and implementing end-to-end observability across agent latency, token usage, and system health using Azure Monitor.
- Designed model-agnostic AI platforms leveraging Google AI SDK and Amazon Bedrock to dynamically route prompts between Gemini 1.5, GPT-4o, and Claude 3.5, managing cross-cloud infrastructure via Terraform to optimize cost and latency.
- Implemented Model Context Protocol (MCP) and a standardized Tool Registry deployed via microservices, enabling autonomous function discovery across enterprise APIs and revolutionizing tool interoperability across agentic workflows.
Principal Solutions Architect, Artificial Intelligence
TEKsystems
- Designed and implemented enterprise AI architectures on Azure ML and AKS, delivering scalable and resilient LLM-powered solutions for clients across multiple industries.
- Built end-to-end MLOps pipelines integrating Azure DevOps, JFrog Artifactory, and ArgoCD, streamlining model deployment lifecycle from experimentation to production.
- Optimized GenAI model pipelines on NVIDIA GPU architectures using CUDA and NVIDIA Inference Microservices (NIMs), improving inference throughput and reducing latency.
- Led proof-of-concept development for NLP, LLM, retrieval, and recommender system use cases in the consumer internet industry, working directly with client AI developer teams.
- Integrated Azure Document Intelligence Studio, Azure OpenAI, and Azure Cognitive Search within a cross-functional DevOps framework to automate document processing and knowledge retrieval.
Principal Solutions Architect
Wipro
- Led a team of DevOps engineers to deliver a production-grade multi-cloud environment for OSDU R2 across Azure, AWS, and GCP.
- Architected Terraform-based Infrastructure as Code orchestrating multi-subscription Azure environments alongside AWS and GCP with centralized state management.
- Deployed AKS clusters with Managed Identity and Azure CNI, and implemented Tekton for Kubernetes-native CI/CD with SonarQube, Fortify, and Checkmarx security scanning.
- Established a DataOps pipeline integrating Azure Data Factory, Databricks, and Cosmos DB, led decomposition of monolithic workloads into microservices on AKS, designed advanced Kubernetes deployment patterns with Tekton, Helm, and managed identity.
Experience
Enterprise AI Platform on Azure (Internal Deployment)
Additionally, I designed OpenTelemetry observability across back- and front-end layers for full-stack tracing.
Finally, I produced C4 architecture diagrams and enterprise architecture assessments to align stakeholders on platform governance and roadmap.
Bilingual AI-powered Mobile App
Education
Bachelor's Degree in Computer Information Systems
University of Houston - Houston, Texas, USA
Associate's Degree in Business
Houston Community College - Houston, Texas, USA
Certifications
Databricks AI Agent Fundamentals
Databricks
NVIDIA-certified Associate: AI Infrastructure and Operations
NVIDIA
Databricks Generative AI Fundamentals
Databricks
Azure Solutions Architect Expert
Microsoft
Azure DevOps Engineer Expert
Microsoft
Azure Certified Administrator
Microsoft
AWS Certified Developer – Associate
Amazon Web Services
Skills
Libraries/APIs
REST APIs, AWS Amplify, Node.js, React
Tools
Azure Kubernetes Service (AKS), Azure DevOps Services, Terraform, Docker Compose, OpenTofu, Amazon Virtual Private Cloud (VPC), Bitbucket, Fastlane, Amazon CloudFront, GitLab CI/CD, GitLab, GitHub, Azure App Service, Azure Application Gateway, Azure ML Studio, Amazon CloudWatch, Claude, TestFlight, Grafana, Amazon Cognito, AWS CloudFormation, AWS Cloud Development Kit (CDK), Visual Studio, AWS IAM, Tekton, SonarQube
Languages
Java, Python, Bash, Python Script, Snowflake, TypeScript, PHP
Frameworks
.NET, Agentic Frameworks
Paradigms
Microservices Architecture, Azure DevOps, DevOps, Continuous Delivery (CD), Event-driven Architecture, HIPAA Compliance, Continuous Integration (CI)
Platforms
Azure, AWS IoT, Google Cloud Platform (GCP), Kubernetes, Docker, Amazon Web Services (AWS), Amazon EC2, DigitalOcean, MacOS, Windows, Linux, NVIDIA NeMo, AWS Lambda, Droplets, Databricks, OpenShift
Storage
MySQL, Redis, Azure Active Directory, PostgreSQL, Amazon DynamoDB, Amazon S3 (AWS S3), Neo4j, Redshift, Amazon Aurora
Other
Solution Architecture, Cloud AI Services, CI/CD Pipelines, Azure Virtual Network (VNet), Active Directory (AD), Architecture, IT Infrastructure, Data Center Migration, Mergers & Acquisitions (M&A), Microsoft 365, Infrastructure as Code (IaC), Performance, Cloud Architecture, Identity & Access Management (IAM), GitHub Actions, API Gateways, Microsoft Azure, Containerization, Scripting, Cloud Infrastructure, Debugging, Site Reliability Engineering (SRE), Azure Service Bus, Cloud Networking, Infrastructure Automation, Infrastructure Monitoring, Consulting, Infrastructure, Cloud Platforms, Cloud, Okta, Microsoft Entra, Deployment, Retrieval-augmented Generation (RAG), Azure Databricks, NVIDIA NIM, Artificial Intelligence (AI), Security, Server Optimization, Hybrid Cloud Infrastructure, Cloud Security, Multi-tenant Architecture, Podman, Transport Layer Security (TLS), Virtual Private Cloud (VPC), Networking, Application State Management, SOC 2, SOC Compliance, Google Play Console, IT Administration, Migration, Disaster Recovery (DR), Disaster Recovery Automation, ETL Tools, Incident Response, Linux Administration, Message Queues, HIPAA, System Administration, RAG Pipelines, Amazon RDS, Amazon Redshift, Amazon Route 53, MLflow, Cursor AI, Container Network Interface (CNI), Endpoint Management
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