Rongduan Zhu

Azure Machine Learning - Compute and Data - Built datasets in Azure Machine Learning, which is responsible for the management, consumption, production, and lineage of data used in the Machine Learning lifecycle. https://learn.microsoft.com/en-us/training/modules/work-with-data-in-aml/ - Built the training job runtime in Azure Machine Learning, which is responsible for orchestrating and managing the user's job on the compute nodes - Enabled fine-tuning of GPT-3 and other intellectual property protected large language models (LLM) in Azure Machine Learning. https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/fine-tuning?pivots=programming-language-studio

Azure Machine Learning - Data Runtime and Management - Built datasets in Azure Machine Learning, which is responsible for the management, consumption, production, and lineage of data used in the Machine Learning lifecycle. https://learn.microsoft.com/en-us/training/modules/work-with-data-in-aml/ - Worked on Azure Machine Learning's data runtime, which is responsible for loading (download, upload, and mount) and transforming the user's training data for Machine Learning.

Azure Machine Learning - Data Runtime and Management - Built the authentication infrastructure in Azure Machine Learning's workbench/portal - Worked on several other features including enabling incremental build for Angular and enabling AOT compilation for Angular

Windows Devices Group - Universal Store Core Worked on the catalog management system for Windows Universal Store.

We made two products. Online IELTS mock examination for an English school in Australia. Allows students to practice their listening, speaking, and writing skills for the IELTS test through a web application. Worked with the school on clarifying requirements, setting priorities, and working on the full stack. Made using: Docker, Docker Compose, Angular 1, Angular Material, SASS, Ruby on Rails, Webpack, Capistrano, PostgresSQL, Git Grocery price match. Single page app that allows shoppers to compare grocery prices between major grocery stores in Australia. Pitched to investors, defining MVP, scheduling of tasks, contacting and working with grocery stores, and working on the full stack. Made using: Docker, Docker Compose, Angular 1, Angular Material, SASS, Gulp, ElasticSearch, Java, PostgresSQL, Git

Migrated existing Sharepoint site of the team to a fully customized Sharepoint site. My role consists of - Engaging Sharepoint Management Team to setup complete new Sharepoint site and deployment from development to UAT to production - Visual improvement using CSS, modifying master page and developing new HTML pages - Developed single page application in AngularJS to allow CRUD operations to key information stored in the CMS which resulted in 300% performance increase over out-of-the-box Sharepoint solution and usability improvements based on customer feedback - Developed macros in Word using VBA to allow reporting functionality by withdrawing data from Sharepoint Single source of truth for applications information the team manages - Designed and developed the database structure for storing applications' information, user system (user authentication and user permissions), and auditing in Microsoft Access - Designed UI utilizing forms in Microsoft Access to allow users to login, perform CRUD operations on the data in the database, and viewing changes made to the database. Help automate upgrade processes of server applications (e.g. BusinessObject, WebView) by maintaining and creating python scripts, Java programs and bash scripts. Monitor production systems which run on z/OS.

I am a full stack developer of the project. My main role was developing backend in Django, utilizing dagre-d3 library to render subject relationship graph and implemented several components of the frontend page using AngularJS.