* Developed the backend and frontend of Academia Biology including update existing database structure, method calls, and route new endpoints with Ruby on Rails

* Implemented the new site’s header with React and the “Subscribe” button that logs user information

* Implemented the backend and frontend of an automated plagiarism detection using Unicheck and maintained the system afterwards with any internal user requests and new product updates

* Created new tables and models with ActiveRecord and ran the migrations

* Wrote SQL queries to gain insight into the market and user behavior

* Created new email templates, wrote Rake tasks to blast them, and wrote SQL queries to

filter qualified recipients

* Designed the architecture for a feature that provides users with customized feed

* Developed the backend of a new service including AWS SQS, lambda implementation,,

writing into RDS database, and GQL query

* Implemented the new mobile homepage of the IMDbPro app (iOS and Android) and other

widgets on the homepage for both desktop and mobile

* Implementation of the “Latest attachments” widget, a feature that allows users to stay

informed of the latest activities within the entertainment industry, by using ElasticSearch

* Implemented the desktop version of the “Explore” page, where it recommends the user new

movies and people to follow

• Implemented enhanced charts using the Highcharts library on the server side, which improved performance speed and user experience

• Responsible for a tab of new function on data exploration and clustering, implemented both server and client side

• Organized data from elastic search and formatted it appropriately on the server to send to the client

• Used GWT RPC framework to transfer data between the server and client

• Found crucial bugs and fixed them, corrected data misrepresentation and improved user experience

• Designed and implemented automated tests using Cucumber for the UI testing of a panel of new functions for Insight, an analytical software for Intel

• Implemented new functionality where user can show data from an uploaded CSV file

• Identified and corrected key calculation mistake in customer’s checkout process

• Organized data from the database and sent it to the website to be displayed in a well-organized table for the sales analysts

• Implemented the promotion code and rebates, which includes configuring the database and connect it to the customer-facing website

• Added new features to the shopping cart that enhanced customers’ experience and variability