Mie Haga
About Mie Haga
Mie Haga is a software engineer specializing in backend development, currently working at pyxis.ai and contributing to open source machine learning projects at Emakia. With a strong educational background in Computer Science and Electrical Engineering, Haga focuses on producing well-documented and efficient code.
Work at pyxis.ai
Mie Haga has been employed as a Software Engineer (Backend) at pyxis.ai since 2022. In this role, Haga focuses on developing scalable backend systems, emphasizing efficiency and maintainability. Haga's commitment to producing well-documented code and comprehensive testing contributes to the overall quality of the software developed at pyxis.ai. The position is based in San Jose, California.
Education and Expertise
Mie Haga studied Computer Science at De Anza College, where Haga earned an Associate of Science degree from 2016 to 2019. Following this, Haga attended the University of California, Berkeley, studying Electrical Engineering and Computer Science, and obtained a Bachelor's degree from 2019 to 2021. Haga possesses expertise in developing scalable backend systems and has a strong commitment to quality through well-documented code and thorough testing.
Background
Prior to joining pyxis.ai, Mie Haga worked as a Backend Engineer at Virufy for three months in 2021, based in Berkeley, California. Haga has also contributed to open source machine learning projects at Emakia since 2023, enhancing collaborative development efforts within the company. This experience reflects Haga's adaptability and quick learning ability in fast-paced team environments.
Contributions to Open Source Projects
Mie Haga has been involved as an Open Source ML Contributor at Emakia since 2023. In this capacity, Haga has contributed to various machine learning projects, which has strengthened the company's collaborative development initiatives. This role highlights Haga's commitment to community-driven software development and expertise in machine learning.