Yasuhiro Yoshida
About Yasuhiro Yoshida
Yasuhiro Yoshida is an AI Software Engineer with a strong academic background in Industrial Engineering and Management Science. He has gained diverse experience through internships and research positions at notable organizations, including DeNA, Procter & Gamble, and Stanford University.
Work at HydroX AI
Yasuhiro Yoshida currently serves as an AI Software Engineer at HydroX AI. He has been in this role since 2024, working on-site in San Jose, California. His responsibilities include developing and implementing AI-driven solutions, contributing to the company's innovative projects in artificial intelligence.
Education and Expertise
Yasuhiro Yoshida has a strong educational background in engineering and management sciences. He earned a Master of Science in Management Science and Engineering with a focus on Computational Social Science from Stanford University, where he studied from 2022 to 2024. He also holds a Bachelor’s degree in Public Policy and Planning Science from the University of Tsukuba, completed in 2022. Additionally, he studied Industrial Engineering and Operations Research as an exchange student at the University of California, Berkeley in 2021.
Background
Yasuhiro Yoshida has a diverse background in data science and machine learning. He began his career with internships at Procter & Gamble and CyberAgent, Inc. in 2020. He later interned at DeNA and Zhejiang University, where he developed predictive and recommendation models. His experience includes working as a Teaching Assistant and Research Assistant at Stanford University, where he gained insights into academic research and teaching methodologies.
Internship Experience
Yasuhiro Yoshida has completed several internships that have shaped his expertise in data science and machine learning. Notably, he worked as a Machine Learning Engineer/Data Scientist Intern at DeNA in 2022, where he developed a mathematical optimization system and created dashboards. His internship at Erdos Inc. involved analyzing search data and resulted in a published paper on data-driven solutions for retail optimization.
Research Contributions
During his time at Erdos Inc., Yasuhiro Yoshida contributed to research that led to the publication of a paper focusing on data-driven solutions for retail optimization. His work emphasized the application of machine learning techniques to enhance operational efficiency in retail settings. Additionally, his role as a Research Assistant at Stanford University further solidified his involvement in academic research.