My name is Olusegun, and I’m a results-driven Data and AI Engineer with a strong foundation in cloud architecture and DevOps. I design and deploy scalable, cost-effective solutions across AWS, Azure, GCP, and OCI. With deep experience in building real-time analytics platforms, AI-driven cloud solutions, and serverless architectures. I approach every challenge with a tool and platform agnostic mindset, letting the problem define the solution and, ensuring that technology serves business strategy, not the other way around. My focus is on translating innovation into measurable business value.
- 🌍 I'm currently based in Atlanta, Georgia
- I enjoy reading, anime, music, movies, and discovering great food spots.
- I’m also actively exploring emerging trends in the AI and data space—currently diving into Retrieval-Augmented Generation (RAG), agentic workflows, and Multi-Chain Planning (MCP).
- I enjoy sharing my technical journey and real-world project insights through blog posts on Medium.
- Always open to collaborating on projects that push the boundaries of data and AI.
- HealthHub AI Assistant
Implemented an AI agent for customer support and medical appointment scheduling using OpenAI API, Functions (API Call), and RAG (Retrieval-Augmented Generation). - HealthHub Vision AI
Built a machine learning solution for disease identification in medical images using Google Cloud Vision AI. - HealthHub Speech-to-Text
Developed functionality to convert doctor-patient audio conversations into text using Azure AI Speech Service. - HealthHub Medical Voice Translator
Deployed a 100% serverless application on AWS using CloudFormation, Cognito, S3, API Gateway, DynamoDB, and Lambda and enabled multilingual medical information conversion using AWS Polly and Amazon Translate. - DevSecOps- Infrastructure As Code (IAC) and Automation of a Security Agent Installation
Implementation of a set of EC2 instances using Terraform and AWS Systems Manager configuration with Amazon Simple Notification Service (SNS) for automated installation of security agents/officers - Azure DevOps Project
Docker Image Push and Deployment for Containerized Voting Application in Kubernetes Cluster using Docker, Azure Container Registry (ACR), and Azure Kubernetes Service (AKS) - Serverless website deployment 100% automated in multiple environments (Test, QA and Production) using Azure DevOps Repos and Pipelines (CI/CD)
Implemented a fully automated, serverless static website deployment pipeline using Azure DevOps. The goal was to establish a streamlined CI/CD process that supports three deployment environments — Testing, QA, and Production — without relying on traditional virtual machine infrastructure. - Deployment of a Private Communication in a MultiCloud Environment (AWS and GCP) 100% automated using Terraform
Implemented a solution to bridge two distinct cloud environments: Google Cloud Platform (GCP) and Amazon Web Services (AWS) used independently within the organization - Deployment Of SaaS Application on AWS Elastic Kubernetes Service (EKS
Deployed SaaS Application on AWS Elastic Kubernetes Service (EKS) Using a Route 53 Domain, ALB Ingress, and SSL Endpoint Powered by AWS Certificate Manager
| Category | Technologies |
|---|---|
| Languages |        |
| Cloud Platforms |     |
| Data Engineering & Big Data |        |
| Data Warehousing |    |
| Databases |          |
| Machine Learning & AI |       |
| Web Development |    |
| DevOps & Infrastructure |        |
| Data Visualization |       |
| Project Management |  |