Google

Los Angeles, CA

• Used Java to implement a debugging toolkit for Google Drive batch processes
• Designed and developed a system that allowed errors from thousands of live processes to be organized in a central location, leading to an enhanced developer experience and higher confidence in the reliability of the batch processing framework
• Built a large-scale pipeline to identify, process, and remove files across every Google Drive account

Mountain View, CA

• Applied Machine Learning techniques to enable Human-Computer Interaction on a Google Home product
• Worked with C++, Tensorflow, and Protocol Buffers to extract body keypoints from a live input stream, and enabled low latency, real-time analysis using ML accelerators
• Used TypeScript to create a canvas game to demonstrate the high accuracy and low latency interaction that the internship project can enable