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greentropikal
February 7, 2026 – Present
Greentropikal - Infrastructure Excellence for African Tech
View Projectgraylog-mattermost-webhook
January 30, 2026 – Present
Production-ready webhook service for forwarding Graylog alerts to Slack or Mattermost.
View Projectsuper-duper-garbanzo
April 13, 2025 – April 17, 2025
super-duper-garbanzo — Dev.to repository
View Projectdjango-celery-k8s
November 8, 2022 – November 10, 2022
A django app with scalable, asynchronous backend workers deployed on Kubernetes.
View Projectnode-hello-app
March 2, 2022 – March 5, 2022
A workflow that uses GitHub Actions to build a node js into a container image tagged with the git sha, push that image to Amazon Elastic Container Registry, and deploy to Amazon EKS on using AWS Fargate with the image tag injected by Kustomize. An Ingress will create the needed ALB.
View ProjectAWS-Cloud-DevOps-Nanodegree
November 17, 2021 – November 17, 2021
The Cloud DevOps Engineer Nanodegree program is geared towards operations and software engineering professionals who want to build infrastructure that delivers product and services at both speed and scale. The program includes projects that teach you how to create continuous integration and continuous delivery (CI/CD) pipelines, deploy massive infrastructure securely using code, and operationalize microservices using Kubernetes. These projects will prepare you to become a successful DevOps engineer.
View ProjectBIT_Scholarship_Project_Notes
October 1, 2021 – October 31, 2021
Repository to create notes regarding the projects and lessons of all the three different tracks
View Projectcdond-c3-projectstarter
September 8, 2021 – October 5, 2021
Cloud DevOps C3 Refresh Project Starter - Build CI/CD Pipelines, Monitoring & Logging - Cloud DevOps Engineer
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards DevOps and Cloud Engineering, with significant experience in Kubernetes, Docker, and AWS. While these are valuable skills, the target role is 'Data Scientist'. There is a notable lack of projects or experience directly related to data science, machine learning, statistical modeling, or data analysis. This indicates a significant mismatch with the target role, suggesting a low cultural fit for a Data Scientist position.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation and infrastructure, which aligns with operational roles.