- Implemented Reinforcement Learning algorithms (Thompson sampling and its variations)- Built chatbots using Azure Bot Framework Composer, and the python Bot Framework SDK- Coded chatbots to perform tasks described in protocols- Wrote codes in Django Web application so that it interacts with the bots through DirectLineAPI- Set up Celery for scheduled messaging tasks- Deployed Django web application on Azure VM

- Wrote and conducted unit tests and integration tests for data pipelines using pytest, unittest.mock- Worked on a flask web application, which is a dashbaord to visualize model predictions and raw data using plotly.dash and redesign callback dependency between different UI elements- Deployed dashboard in Kubernetes using GitLab - Managed CI-CD pipelines in GitLab- Designed Error handling protocol, which includes logging, error codes, and error messages

- Built a Content Robot Management System for the robots using Django, javascript, HTML, Bootstrap and CSS- Used AWS S3 Bucket for storage of media files, and AWS Cloudfront to reduce the latency of website- Also built a REST API for the application using DjangoRestFramework, so as to create endpoints for the development of the android app, which will be installed into the Robot

- Did research under the Political Science Department in University of Toronto, under supervision of Professor Lynette Ong- Worked with data on Excel and keyword extraction program

- Use Java, Android Studio and robot SDK to code apps for the robot- Built a reception app, allowing the robot to act like a receptionist, contacting people in the offices, issuing digital badges to visitors of the company, and leading visitors to different places of the office.- Built a backend website for a museum app, using html, css and php, allowing users to upload materials to the server via the website and retrieving those data in the android app.