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.

• CSV Data Viz Analysis Tool
  CSV Data Viz Analysis Tool is a user-friendly application designed for visualizing structured data. This tool allows users to effortlessly create plots with accompanying summary.
• 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
  Enabled multilingual medical information conversion using AWS Polly and Amazon Translate.
• HealthHub Serverless Deployment
  Deployed a 100% serverless application on AWS using CloudFormation, Cognito, S3, API Gateway, DynamoDB, and Lambda.
• Local RAG Implementation with DeepSeek and Ollama
  Developed a local Retrieval-Augmented Generation (RAG) solution using DeepSeek, Ollama, and Python for privacy-focused AI inference.

• Executive Presentation: SAP Migration to AWS Estimated Cost Analysis
  Created an executive presentation of infrastructure costs for a SAP migration project from On-Premises to AWS.
• 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
• Implementation and Deployment of a Scalable Web Application on AWS
  Implementation and deployment of a Scalable Web Application using the services of AWS Elastic Beanstalk, DynamoDB, CloudFront and Edge Locations.
• Migration of Workloads from On-prem to AWS
  Migration of a Workload running in a Corporate Data Center to AWS using the Amazon EC2 and RDS service
• Automated AWS IAM Management
  Automated users migration and management of the AWS IAM (Identity and Access Management) resources.
• AWS Weather Dashboard
  It utilizes the OpenWeather API to retrieve weather information and stores it in an AWS S3 bucket. The weather data includes key metrics like temperature (°F), humidity, and weather conditions, and is timestamped for historical tracking

• 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)
• Home Office Solution using Microsoft Azure VPN Gateway
  Created a solution for people who were working in the office to start working from home, normally accessing the environment in Microsoft Azure, and without exposing the entire environment to the internet.
• [Infrastructure modernization, from on-premises to Microsoft Azure
  Modernized and migrated an on-premises infrastructure environment to Microsoft Azure. Deployed a set of Virtual Machines, the infrastructure, and a shared file system, and replaced tape backups with cloud backups, achieving high availability.
• On Premises DBA Mentoring and PostgreSQL Deployment in Microsoft Azure
  PostgreSQL database deployment with knowledge transfer to the on-premises DBAs team using Microsoft Azure Database for PostgreSQL Servers
• 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.

• Automation Using Python on Google Cloud — IAM Service Accounts
  I used IAM services on GCP to create a Service Account. This service account allowed communication via scripts within the architecture through Cloud SDK and Python Scripts.
• 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 Global Cloud Load Balancing between Regions in the USA and Europe
  Deployment of Cloud Load Balancing between Regions in the USA and Europe for global high availability and intelligent traffic distribution based on user proximity and location
• Intercontinental VM Migration on GCP
  Migration of Intercontinental VM (USA Region > Australia Region) using **Storage Snapshot through Google Cloud Internal Private Network. **
• Migration of Standalone Application and Database from VM (Google Compute Engine) to a modern architecture, using Google Kubernetes Engine (APP) + Cloud SQL (DB) with High Availability
  Modernized a legacy virtual machine-based application by implementing a fully managed, containerized architecture on Google Cloud Platform (GCP).
• Deployment of Corporate Training Portal on Google Cloud Platform using Deployment Manager, Google Compute Engine & Cloud Storage
  Deployed a Moodle-based Corporate Training Portal using Deployment Manager on Google Cloud Platform (GCP).

• Deployment of Users, Groups and Policies in an 100% Automated Way using Ansible and Oracle Cloud Shell
  Implementation of users, groups, and policies in a 100% automated way using Ansible and Cloud Shell.

• 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
• Proof of Concept (POC) on AWS Elastic Container Service (ECS)
  Implemented Proof of Concept (POC) on AWS Elastic Container Service (ECS) fronted by Application Load Balancer (ALB) and Storing Docker Images on Elastic Container Registry (ECR)
• Configuration and Deployment of SaaS Application on AWS EC2 Inventory
  I used Ansible configuration management automation to configure and deploy the innovative SaaS application on AWS EC2 instances
• CI/CD Pipeline with AWS and Kubernetes
  Automated the design and deployement of a reusable, multi-tenant SaaS infrastructure on AWS using Terraform modules and securely store the terraform configuration files on AWS CodeCommit.
• Implementation Of Git Repositories For Application And Infrastructure Code
  Implemented Git repositories for application and infrastructure code using AWS CodeCommit, and got hands-on experience with the Proof of Concept (PoC) process of commit, push, and revert code changes.
• E-Commerce MVP Deployment
  Implementation of an E-Commerce System on AWS in an automated way using Terraform and Ansible

• NBA Players Clustering
  This project performs cluster analysis on NBA player statistics to group players into functional categories based on their on-court statistics and style of play.
• Baseball Salary Prediction
  This project, developed in R Studio, delves into regression modeling for predicting annual salaries of major league baseball players using the Hitters dataset from the ISLR package.

Category	Technologies
Languages
Data Processing & Big Data
Data Visualization
Databases	Postgres
Cloud & Developer Tools
Orchestration & CI/CD
Project & Task Management
Frameworks & Libraries