This portfolio represents a comprehensive suite of Full-Stack Engineering, DevOps, and Cloud Architecture capabilities. It includes complete source code for solutions built with a polyglot approach, featuring robust backends in Ruby on Rails, Python, and .NET, paired with dynamic Front-Ends using React, Angular, and Vue.js. The projects demonstrate expertise in Infrastructure as Code (Terraform, CloudFormation), automated CI/CD Pipelines (Jenkins, GitHub Actions), and containerized deployments with Docker and Kubernetes, all supported by a deep understanding of databases, networking, and enterprise-grade security.
Whether you're an enterprise leader seeking to modernize legacy systems, a startup architecting a scalable cloud-native platform, a product manager looking to integrate cutting-edge AI and MLOps, or anything in between, Eddie Zebō delivers the strategic vision and technical execution to transform your complex requirements into reality. This portfolio stands as a testament to the expertise of Eddie Zebō, showcasing a proven track record of engineering secure, high-performing, and future-proof digital solutions. It demonstrates the expert foundation and proven capability required to transform complex requirements into successful, real-world applications, ensuring your organization has the tools it needs to succeed.
Developed a Full-Stack, responsive Single-Page Application (SPA) architected with React and Next.js for Server-Side Rendering (SSR), Search Engine Optimization (SEO), and styled with Tailwind CSS. This project demonstrates a complete professional Software Development Lifecycle (SDLC), from initial design and wireframing in Figma, to Component-Driven Development in Storybook, utilizing a robust, multi-layered testing strategy using Jest for Unit Tests and Cypress for End-to-End validation. It connects to a MongoDB database for data persistence and is deployed via a modern CI/CD Pipeline with GitHub Actions to Vercel, ensuring a mobile-first, accessible, and performant user experience.
Developed WeSpark, a comprehensive full-stack "Learning & Opportunity Dashboard" architected within a monorepo to demonstrate end-to-end software development capabilities. The system features three core, integrated components: a cross-platform mobile client for data submission built with .NET MAUI and .NET 7, using C# for logic and XAML for the user interface; a central RESTful backend API powered by Node.js and Express.js, which utilizes the native fs module for initial data persistence to a local JSON file and cors middleware for secure requests; and a sophisticated administrative web dashboard built as an Angular 16 single-page application with TypeScript, HTML5, and CSS3, using the HttpClientModule for API interaction. The entire development ecosystem was managed using Git and GitHub for version control, with a cross-platform workflow spanning Visual Studio 2022 for .NET MAUI and Visual Studio Code within a Windows Subsystem for Linux (WSL) Ubuntu 22.04 LTS environment, all complemented by Postman for API testing and documentation and Canva for design assets. The project was strategically designed with a forward-thinking migration path to a scalable, serverless AWS cloud architecture, leveraging services such as API Gateway, AWS Lambda, Amazon DynamoDB, and IAM for a robust, enterprise-grade deployment
Engineered and implemented End-to-End DevOps and MLOps solutions on AWS, demonstrating expertise across both traditional web application deployment and modern machine learning lifecycles. Established a robust CI/CD Pipeline for a LAMP/WordPress environment, automating deployments to EC2 within a secure VPC. This solution leveraged Infrastructure as Code (CloudFormation in JSON/YAML) and a comprehensive toolchain including Docker and the AWS DevOps suite, with automation scripted in Bash and Python (boto3). Concurrently, a complete MLOps Pipeline was implemented using AWS SageMaker with GPU instances for accelerated training, orchestrating automated model deployment, monitoring, and retraining through a SageModel Registry, ECR, EventBridge, and SNS. This expertise in cloud-native architecture was further demonstrated by engineering a high-performance, cross-platform application with Flutter, supported by a microservices environment utilizing REST and gRPC APIs. The solution integrated MariaDB on RDS for scalable data persistence and leveraged the AWS CLI for task automation. A comprehensive, multi-layered testing strategy, spanning Front-End (Jest/Cypress), Back-End (PyTest), API (Postman), and performance (JMeter)—validated all solutions, ensuring the delivery of highly reproducible, secure, and cost-optimized cloud environments.
Developed Titans' Coffee Run, a Full-Stack rich internet application designed to showcase advanced JavaScript skills and modern web development principles. Built on a core foundation of HTML, CSS, and JavaScript, the project implements a Client-Server architecture that manages communications via a REST API, with asynchronous data handling powered by AJAX. Its interactive GUI leverages event-driven programming to manipulate the DOM and is visually enhanced with graphics technologies including Canvas, SVG, and WebGL. Data persistence is managed using JSON formatting and client-side storage, while the application demonstrates proficiency across a range of libraries from foundational tools like jQuery and Underscore.js to modern frameworks like React or Angular. Adhering to an Agile approach, the development process emphasized high-performance code, security best practices, and comprehensive Unit Testing, utilizing a toolkit that included Visual Studio Code, Git/GitHub for version control, Postman for API validation, and the W3C Validator for standards compliance, ensuring robust cross-browser compatibility.
Engineered and deployed a Full-Stack, AI-powered toolkit architected with Ruby on Rails 8.0, PostgreSQL, and Redis/Sidekiq for robust data storage and background job processing. The system integrates OpenAI's API for intelligent, dynamic generation of professional documents and features secure user authentication with Devise. The entire application is containerized using Docker and deployed to Google Cloud Platform (GCP) resources, including Cloud Run, Cloud SQL, and Memorystore, which are provisioned and managed entirely through Infrastructure as Code (IaC) with modular Terraform configurations. A comprehensive CI/CD Pipeline built with GitHub Actions automates the entire workflow, from running comprehensive RSpec tests and security scans to building and deploying Docker images across multiple environments. Enterprise-grade observability is achieved through an integrated monitoring stack featuring Sentry, Prometheus, and Grafana, providing deep insights into application performance and user behavior. This End-to-End automation and infrastructure management ensures a highly scalable, reliable, and secure platform.
A Full-Stack rich internet application architected on the Ruby on Rails framework to demonstrate modern Web Development principles. Built on a robust Model-View-Controller (MVC) architecture, the application leverages the power of Ruby for its Back-End logic while delivering a dynamic Front-End through Server-Rendered HTML and CSS, enhanced with AJAX and minimal JavaScript for asynchronous interactivity. The platform adheres to RESTful principles for its API, and the project followed an Agile approach, incorporating Shell and Batchfile scripts to automate setup, testing, and deployment. A strong focus was placed on creating secure, high-performance code, validated through a comprehensive Unit Testing suite using a development toolkit that included Visual Studio Code, Git/GitHub for version control, and Postman for API validation, with robust documentation in Markdown ensuring cross-browser compatibility.