• Converted Legacy Flask Rest Plus API to a FastAPI with several improvements to it.

• Updated Scientific pipeline from Python2 to Python3.

• Dockerized scientific pipeline and made it run-able and user friendly to scientists with Makefile.

• Updated scientific pipeline built by talented scientists with modern coding standards (More readable, testable, and maintainable)

• Dockerized Jupyter to interact with scientific pipeline.

• Worked on the project DT4D for GE Global Research. It implemented a common framework for configuring, controlling, running, and persisting workflows of engineering and scientific analysis.

• I created an automated testing suite that was driven by Jenkins. The suite offered the team the ability to test our services with API requests from postman or simulating workflows with our Python library.

• Worked with team in our Java service and Python library to add new endpoints and handling of information to be stored in S3 buckets using Elasticsearch, and new trigger functionality activated in the workflow pipeline.

Developed an application that submitted, tested, and validated possible user-generated content

• The project is coded in Python using the Selenium Webdriver framework to test the

front end and used pysftp and pyodbc libraries to test successfully stored and transported data to the sftp server, and in the database.

• Developed with the Page Object Model design pattern so code is maintainable and reusable, so that unit test cases for different web pages are easy to produce.