Cofounded startup providing popular, open-source machine learning UI library that facilitates model deployment (https://gradio.app)- Responsible for architecting the design of the Gradio library, and managing and implementing the release of its features- Defined API for Gradio library to support various model data types (e.g. images, text, audio, timeseries) and implemented majority of code for Gradio in Python and JS using frameworks such as Flask, React, and TailwindCSS- Coordinated community feature requests, issues and bugs into engineering timeline- Raised $2.8 million seed round led by Cowboy Venture Capital

Worked in YouTube Payments and Reporting division as a backend engineer.- Used C++ to deliver financial information about all music videos and content on YouTube- Wrote distributed processing and data pipelines to aggregate, modify, and summarize financial data on massive scales- Coordinated with PMs, PTMs, finance and business teams to create specs and deliver financial reports to Google Music partners

Joined Uhana as an early employee as the primary front-end engineer, but was also involved in backend tasks including database management. - Designed application to convey large amounts of realtime and historic data over large geographic regions and time scopes- Coordinated with PMs, clients, business partners, and other engineers to design and develop interface to be used by customers.- Used HTML, CSS, Javascript, React, JQuery, Django, Swagger, and InfluxDB to develop application- Conducted interviews to expand team. Joined when team size was <15, helped grow it to ~50 engineers.- Interviewed and hired an additional front-end engineer, and managed intern.

Worked on energy based data predictions as a backed engineer- Worked to optimize algorithms that predicted future energy loads on generators on large geographical scales, e.g. the state of Florida. - Used database of energy load history for predictions; focus was on improving algorithm performance in edge cases such as Daylight-Savings Time days.