• Developed and launched first “Chat with Business” feature on Google Search and Google Shopping for desktop so users to easily ask merchants product and customer-service related questions

• Launched “Chat with Business” feature on Gmail aimed to provide direct and quick customer service access to users

• Improved viability of entry points through in-depth conversion tracking analysis to increase merchant site interactions

• Ensured web-accessibility compliance of Business Chat across 8 entry points and 3 platforms

• Refactored Shopping Search code base for easier usability, improved performance, and scalable future development

• Automated manual debugging process of Shopping query retrieval, saving hours of debugging for engineers

• Developed benchmark tests to assess the performance/usability tradeoff of potential tools to ensure a usable, scalable, and high-performing solution

• Implemented statistics retrieval and processing feature, providing comprehensive debugging for a widely-used API

• Established framework for conducting experimental simulations of response building to improve user engagement

• Proactively identified potential scaling and latency issues for server-side framework and developed project plan to address future changes and additions that may be implemented

• Worked with the Google Cloud AI Platform team to create software useful to clients

• Developed JupyterLab extension providing git-based real-time editing in order to improve collaboration for clients using Jupyter notebooks stored on git repositories

• Extended front-end and back-end functionality of JupyterLab using Typescript/React and Python respectively to minimize the load of computation for the server and improve the speed of the extension

• Adapted quickly to OSS codebase and proactively determined potential edge/corner cases regarding race conditions and parallelism for consistent program execution regardless of external factors (ie. server-client latency and user input timing)

• Drafted detailed design documentation outlining the costs and benefits of different solutions to choose the optimal interfaces, libraries, and frameworks to be utilized in fulfilling project requirements