WASAI Technology Inc. specializes in Big Data acceleration platforms, provides expert patented solutions to key problems for large data centers with both high quality and performance.

Founded in 2015.

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4F., No.66, Sec. 2, Changsha St., Wanhua Dist., Taipei City 108, Taiwan (R.O.C.)



© 2019 WASAI Technology, Inc. All rights reserved.

Ally Hsu, 

Sales & Marketing Manager

Ally is the Sales & Marketing manager and Assistant Deputy Director of WASAI Technology, in charge of worldwide sales and marketing affairs. Being the bridge of communication between WASAI and our clients, Ally has years of experience in sales and marketing department of technology firms. Ally holds B.A. of Japanese Language and Literature from Chinese Cultural University.

Po-Hao Wang, 

Director of Dept. of Engineering

Po-Hao Wang is the  director of Engineering Department and Assistant Deputy Director of WASAI Technology, leading the engineering team and R&D (research & development). Po-Hao previously served as an engineer in Mediatek. Po-Hao holds Ph.D. in computer science from National Chiao-Tung University.

Calvin Hung, CEO

Calvin is the co-founder of WASAI Technology who currently serves as Chief Executive Officer. Calvin joined WASAI from Mediatek, where he served as technical manager of Android and Linux kernel optimization. Prior to Mediatek, he held roles at MStar Semiconductor, where he led the development of the first Android SoC platform of the company and Chi-Mei Communication Systems. Calvin has more than 15 years of experience in software and hardware architecture co-design and performance optimization across a broad range of platforms. He holds a master’s degree in computer science from National Chiao-Tung University, Taiwan. 

Peter Chang, Vice President

Being an expert in CPU and server with over 14 years of relating experiences, Peter is now in the position of Vice President in WASAI Technology. Peter Chang used to work in IBM leading a test design PM group and being a technical project manager. In the position, he managed efficient architecture for big data processing and the allocation of 2M budget, which led Peter and his team winning IBM Eminence Excellence Awards(Team Awards) in 2011. Peter holds an MS in Computer Science from NTHU.