* Supported ”Wind Chill” related user queries. (e.g. ”Hey, what’s the wind chill today?”) · Created new intent and protocol buffers. · Fulfilled buffers with weather data and rendered them to natural sentences. · Reduced time for natural language rendering by 3 times while migrating GenX templates generation logic to upper layer architecture. · Initiated refactoring of unit tests for 7 Google Search Weather features which resulted in better code reusability. · Reached 98.86% positive score for all users ”wind chill” queries while running analysis of the project.

Skelter Labs was awarded title of ”Korea’s Most Innovative Tech Company” (2017) and raised $9M on its AI technologies. I worked on computer vision based web-application · Developed synchronous bulk defect detection UI feature of car engine parts in React.Js · Implemented prefix search on car motor parts’ serial numbers via MySQL database query · Expanded back-end capability using Node.JS, Moment.JS to arrange statistical data into time slices