Teja Veeramacheneni is an accomplished computer scientist and economist with a diverse background and impressive education. She holds both a Masters of Science in Computer Science and a Bachelors of Arts in Economics from Stanford University. Her time at Stanford included a variety of research and internship positions, including serving as a Stanford DAWN Lab Research Assistant, a Garage Fellow at Pear VC, and as an Image Processing Research Intern at Brain Health Alliance.

Teja also has extensive industry experience, having served as a Software Engineering Intern at Google, a Machine Learning Consultant at Sonasoft, and as a Software Engineering Intern at Facebook. She most recently co-founded Roadata, a tech startup that aimed to provide accessible data for city planning, and is currently an incoming Quantitative Trading Analyst Intern at financial firm DRW.

Throughout her diverse and accomplished career, Teja Veeramacheneni has gained extensive expertise in computer science, machine learning, software engineering, econometrics, and quantitative analysis. She is also passionate about the intersection of technology and social good, and has experience researching subjects such as image processing for brain health and startup incubation.