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kudzanaim/README.md

Hello there, I'm Kudzanai Murefu

Dynamic Full Stack developer with 6 years experience working in both small startup environments & large corporate teams. Expertise in React, Node.js, REST, GraphQL, NextJS, Docker, MongoDB, AWS & GCP.

Download my Resume



Technology Stack 💻 Programming Languages 👨‍💻 :



Frameworks & Databases 📦 :



Libraries 🔣 :



Cloud Platforms ☁️ :



Hosting & Orchestration 🌎 :




My Projects

1. Strma Music (Private Repo)

  • Built a serverless music streaming service hosted on GCP Cloud Run.
  • Deployed 3 micro-frontends built in React & Redux targeting 3 user groups (Listeners & Artists & Site Admin).
  • Worked on both front & backend layers, writing client side React/Redux & NodeJS for REST API services.
  • Implemented CI/CD pipeline that triggered builds for all Github Repos with Google Cloud Build and auto deployed to Cloud Run.
  • Implemented Google Cloud Scheduler to automatically back up Firebase databases.
  • Built Cloud Storage triggers that auto-compress audio MP3 files using Cloud Storage triggers. Web App


2. Simple Data Vizualization
Simple client-side chart visualizations app that presents data in the form of a bar chart, plus the following:

  • A data table that is used to browse through data supplied from an API.
  • This table allows for fuzzy search on meaningful values (such as POI names).
  • A functional map-based data visualization based on different POI-bound metrics.

Technologies Used:

  • React & redux.
  • Google Charts for building charts.
  • D3.js for builsing the map visualizations, and mapping the API metrics to the map.
  • Firebase for hosting the web-app. Web App


3. Terraform & CLoud Run Formation
This App is a client-side app that allows users to provision a new Cloud Run service given an image ID, and upon submit, a TERRAFORM file is dynamically created and sets up all hosting for the given image & returns a public URL. The cloud run service will be a serveless container and can be created or deleted through the UI.

Live version of this app can be tested here: https://speech-to-text-frontend-ug7x7udhmq-pd.a.run.app/

Technologies Used:

  • Google Cloud Run
  • Terraform
  • Node.js & Express.js
  • Firebase
  • Docker
  • HTML & CSS


4. Speech to Text Chat App
This app allows user to record an audio which is sent to a NodeJS Backend and Converted to text using Speech-to-Text API, then sent to OpenAI API for an answer completion.

Technologies Used:

  • Google Cloud Run
  • Node.js & Express.js
  • Docker
  • React

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