Tommy Yang

Tommy Yang has a diverse work experience in the field of technology. Tommy is currently working as a Backend Engineer at Otter.ai since 2022. Prior to this, Tommy worked at Stanford University where they held two roles. Tommy was a Computer Science Section Leader from April 2019 to June 2022, and an Undergraduate Researcher at The Stanford Vision and Learning Lab (SVL) from October 2020 to December 2020, where they conducted research on multi-object 3D object tracking.

Tommy also gained valuable experience as a Software Engineering Intern at Google. Tommy worked with the Google Local Services Ads team from June 2021 to September 2021, and with the Google AI Research team from June 2020 to September 2020. During their internship, they developed various software and participated in fundamental research, contributing to technologies used by billions of people every day.

Additionally, Tommy had the opportunity to work at NASA as a Software Engineering Intern in 2019. Tommy developed risk analysis software for NASA's Urban Air Mobility (UAM) project, focusing on a safe and efficient air transportation system for drones. Tommy worked on both front-end and back-end development using HTML/CSS, Electron, Python, and NodeJS. Tommy'swork involved simulating flight paths between cities to determine the best options based on potential costs of crashes.

Overall, Tommy Yang's work experience demonstrates their expertise in computer science, research, software engineering, and their contribution to cutting-edge technologies in various domains.

Tommy Yang attended Menlo School from 2014 to 2018. Tommy then enrolled at Stanford University in 2018, where they pursued a Bachelor of Science (BS) in Computer Science with a concentration in Artificial Intelligence (AI) and a minor in Mathematics. Additionally, in 2017, Tommy participated in the Stanford University Mathematics Camp (SUMaC).