Kevin Muthiani

A managed cloud hosting platform that enables users to launch web applications seamlessly. I was a senior back-end developer focused on developing, maintaining, and deploying a Django REST API that linked the customer-facing front-end with a Google Kubernetes Engine (GKE) back end. The API facilitated customization and dynamic user dashboards and handled metric-based billing. I refined asynchronous operations to enhance stability and improved the codebase's overall efficiency and maintainability.

This crowdsourcing solution collects and analyzes various products' prices in different retail outlets. The information is customized for data subscribers or analysts and used to aid shoppers in the price comparison.

As the lead back-end developer for the project, I was tasked with overseeing software development to meet REST API requirements. The API was developed using Django Ninja (Python) and JSON Web Token (JWT) for user authentication.

I primarily worked on data models and API endpoints for authentication, data, billing, and product modules. I also configured the PostgreSQL database, Redis broker for async Celery workers, and Elasticsearch search and analytics containers on AWS. Integrated the API authentication service with a Google Identity Platform.

Additionally, I configured DevOps GitLab CI/CD pipelines with code quality checks, unit testing, the building of Docker images, and deployment to an AWS Cloud Docker swarm cluster behind the Nginx reverse proxy. Finally, I prepared a fault-tolerant production environment.

This project assists consumer goods manufacturers and wholesalers in managing distribution and sales to retailers.

I oversaw software development to meet REST API requirements. The API service was developed using the Django REST framework (Python) and OAuth for user authentication.

I primarily developed the roles, dispatching, and accounting API modules. Then I configured PostgreSQL, Redis cache and broker, and Elasticsearch analytics containers on AWS. Additionally, I configured DevOps GitLab CI/CD pipelines completed with code quality checks, unit testing, the building of Docker images, and deployment to AWS.

This video-conferencing solution helps shift toward working from home, as was the case for many public and private organizations during 2020, all in a bid to curb the spread of the COVID-19 pandemic.

I was part of the back-end software development team tasked with developing a REST API back end using Django REST framework (Python), PostgreSQL for data storage, and JWT for authentication.

I installed and configured an OpenVidu server using Docker Compose on Azure to communicate with the back end and web microservices on AWS. Also, I programmed asynchronous tasks using Redis as a Celery message broker for mobile notifications, such as meeting schedules and OTPs for signup and password reset, through integration with a third-party telecommunication provider API. As a co-DevOps engineer for the project, I managed GitLab CI/CD pipelines that facilitated deployment to the AWS Cloud.

A centralized office management tool for a software development organization with an Angular-based front-end website and Django REST back end.

I worked as a back-end and DevOps developer on the tool, which comprised various modules such as project management, accounting, asset management, space bookings, and rota scheduling.

The project management module (core) featured a Web UI for planning, tracking, and discussing milestones, user stories, and bug tickets on a multi-stage board. This was integrated with a self-hosted GitLab instance to track related git branches, commits, and releases automatically.