Read my Microsoft #ContributorStories here 👉🏼 aka.ms/contributor-stories/john-aziz
Details about me
I'm deeply passionate about continuously expanding my knowledge in software engineering and developer roles, driven by the desire to both learn new technologies and share my insights with others. My expertise extends to the realm of Cloud Computing, where I have honed my skills and demonstrated my capabilities. Additionally, I possess a solid foundation in Software Engineering, Git, Data Science and Data Analysis using Python, C++ and I am well-versed in essential software development principles.
My journey in the tech industry has been enriched through diverse experiences, including my role as a Microsoft Learn Student Ambassador. In this capacity, I had the privilege of developing official content for both the Microsoft Tech Community and Microsoft Learn, contributing to the broader knowledge-sharing ecosystem. These experiences have reinforced my commitment to staying at the forefront of technology and mentoring others on their own exciting journeys in the world of software engineering.
| Name | Description | Technologies | DevContainer? |
|---|---|---|---|
| rag-semantic-kernel-mongodb-vcore | A sample for implementing retrieval augmented generation using Azure Open AI to generate embeddings, Azure Cosmos DB for MongoDB vCore to perform vector search, and semantic kernel. | Python, Quart, OpenAI, MongoDB | ✅ |
| simple-flask-app-terraform | A simple Python Flask server (classroom example). Designed to be run with Flask locally and deployed to Azure App service. | Python, Flask, Azure, Terraform | ✅ |
| flask-api-sqlite-db | An API for Managing test cases and their execution results across multiple test assets, with data stored in a SQLite database. | Python, Flask, SQLite, Pytest | ✅ |
| flask-webapp-mysql-db | Artists Booking Venues powered by Python (Flask) and MySQL Database. Designed for deployment with the Azure Developer CLI (azd). | Python, Flask, MySQL, Azure, App Service | ✅ |
| flask-webapp-postgresql-db | Artists Booking Venues powered by Python (Flask) and PostgreSQL Database. Designed for deployment with the Azure Developer CLI (azd). | Python, Flask, PostgreSQL, Azure, App Service | ✅ |
| azure-flask-mysql-flexible-appservice | Web app using Python Flask backend, set up for deployment to Azure App Service with Azure MySQL Flexible Server. | Python, Flask, MySQL, Azure, App Service | ✅ |
| azure-flask-mysql-flexible-aca | Web app using Python Flask backend, set up for deployment to Azure Container Apps with Azure MySQL Flexible server. | Python, Flask, MySQL, Azure, Azure Container Apps | ✅ |
| azure-fastapi-mysql-flexible-appservice | Web app using Python FastAPI backend, set up for deployment to Azure App Service with Azure MySQL Flexible Server. | Python, FastAPI, MySQL, Azure, App Service | ✅ |
| azure-fastapi-mysql-flexible-aca | Web app using Python FastAPI backend, set up for deployment to Azure Container Apps with Azure MySQL Flexible Server. | Python, FastAPI, MySQL, Azure, Azure Container Apps | ✅ |
| azure-django-mysql-flexible-appservice | Web app using Python Django backend, set up for deployment to Azure App Service with Azure MySQL Flexible Server. | Python, Django, MySQL, Azure, App Service | ✅ |
| azure-django-mysql-flexible-aca | Web app using Python Django backend, set up for deployment to Azure Container Apps with Azure MySQL Flexible Server. | Python, Django, MySQL, Azure, Azure Container Apps | ✅ |
| azure-django-mysql-flexible-aca | Web app using Python Django backend, set up for deployment to Azure Container Apps with Azure MySQL Flexible Server. | Python, Django, MySQL, Azure, Azure Container Apps | ✅ |
| Name | Description | Technologies |
|---|---|---|
| markdown-checker | Markdown Validation Reporting Tool. | Python |
| action-check-markdown | An action that runs markdown-checker on PRs and stores the found issues in the GitHub environment. | GitHub Action |
| Google-Apps-Script-Send-Custom-Emails | Google apps script to send two custom HTML messages to anyone automatically. | Google Apps Script, Automation, Gmail |
| Create-and-Send-Personalized-Certificates-using-GAS | Google apps script to create and send personalized certificates to anyone automatically. | Google Apps Script, Automation, Gmail |
| Declutter-your-Gmail-Using-Google-Apps-Script | Use Google Apps Script in decluttering your Gmail professionally. Get rid of your unimportant mail by deleting the emails that are one week old and not marked as important nor archived. | Google Apps Script, Automation, Gmail |
| Name | Description | Technologies |
|---|---|---|
| microsoft/AzureML-PowerAppSolution | A Power Apps sample for deploying a natural language processing machine learning model to the Azure platform and consuming it using Power Automate to generate text and give you creative writing ideas. | Low-Code / No-Code, AI / ML, Azure |
| microsoft/Fabric_Workshops | Microsoft Fabric Readiness and Workshops. | Low-Code / No-Code, AI / ML, Azure, Microsoft Fabric |
| house-price-predicition-aml-powerapp | Azure ML + Power App Solution sample and walkthrough to complement the Azure Architecture Centre reference pattern. | Low-Code / No-Code, AI / ML, Azure |
| automate-business-email-management-aibuilder-powerapps | AI Builder + Power App Solution sample and walkthrough to complement the Azure Architecture Centre reference pattern. | Low-Code / No-Code, AI / ML, Office 365 |
See publications
See publications
- Migrating a Full Stack MySQL Web App from Google Cloud to Microsoft Azure: Step-by-Step Guide
- Migrating a Full Stack MySQL Web App from Google Cloud to Microsoft Azure: Step-by-Step Guide
- Migrating a Full Stack PostgreSQL Web App from Google Cloud to Microsoft Azure: Step-by-Step Guide
- Introduction to Git, GitHub, and Version Control workshop-o-matic Library
- Understanding the Difference in Using Different Large Language Models: Step-by-Step Guide
- Bring your own Data to Azure OpenAI: Step-by-Step Guide
- Automate Business Email Management Using AI Builder and Power Apps: Step-by-Step Guide
- The Full Guide to Packaging and Deploying ML Models to Production Using Azure: Step-by-Step Guide
- Deploying a Large Language Model (GPT-2) on Azure Using Power Automate: Step-by-Step Guide
- Create and Deploy a Healthcare Chatbot with Azure Health Bot: Step-by-Step Guide
