Mie Haga

Mie Haga is a Software Engineer specializing in backend development at pyxis.ai since February 2022, where contributions include building a Human Emotion Classifier service and enhancing its prediction accuracy by 13%, as well as improving Speech to Text service accuracy by approximately 9% while significantly reducing costs by 60% through the use of Lambda. Mie Haga is also an Open Source ML contributor at Emakia since September 2023. Prior experience includes working as a Backend Engineer at Virufy and as a Full Stack Engineer at Diamondhead, where Mie Haga collaborated on an eCommerce fashion website that attracted over 200,000 monthly active users and optimized data retrieval speed through advanced indexing and query methods. Mie Haga completed a Bachelor's degree in Electrical Engineering and Computer Science at the University of California, Berkeley, and holds an Associate of Science degree in Computer Science from De Anza College.