Rodrick M is a Lead Platform (DevOps) Engineer with 10 years of experience building and automating cloud-native infrastructure across AWS and GCP from Bamenda, Cameroon. He blends full-stack development chops in the JavaScript ecosystem with Infrastructure-as-Code, GitOps, and CI/CD to deliver scalable ECS- and Kubernetes-based systems, data pipelines with Airflow, and observable platforms using Prometheus/Grafana and Linkerd. As a hands-on leader he has led DevOps teams, implemented multi-account AWS organizations, and driven cost optimization and security automation. An active open-source contributor, he enhanced discriminator support in the widely used graphql-compose-mongoose project, showing attention to both API ergonomics and testing. Rodrick pairs a Master’s in Computer Software Engineering with practical experience in Python and Go scripting, Terraform, ArgoCD/Ansible, and GitHub Actions to turn complex requirements into repeatable, production-ready workflows.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at University of Yaoundé I
Data Modeling/Warehousing and Database Administration, Data Modeling/Warehousing and Database Administration at IBM Cognitive Class
Master of Engineering - MEng, Computer Software Engineering, Master of Engineering - MEng, Computer Software Engineering at National Higher Polytechnic Institute, University of Bamenda
Mongoose model converter to GraphQL types with resolvers for graphql-compose https://github.com/nodkz/graphql-compose
Role in this project:
Back-end Developer
Contributions:22 commits, 6 PRs, 23 comments in 2 months
Contributions summary:Rodrick primarily contributed to the implementation of discriminator functionality within the graphql-compose-mongoose library. Their work focused on adding and refining the `composeWithMongooseDiscriminators` feature. They introduced the ability to merge customization options and made improvements to the resolvers, as well as testing. The user refactored code to improve clarity, including renaming and moving files.
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