Victor Xie (PhD)
About Victor Xie (PhD)
Victor Xie, PhD, serves as a Distinguished Engineer in AI/ML at DECKARD Technologies in Sydney, Australia. He has a diverse background in data science and engineering, with previous roles at Commonwealth Bank, Shanghai Jiao Tong University, IBM, Qualcomm, and ninemsn.
Work at Deckard Technologies
Victor Xie currently serves as a Distinguished Engineer in AI/ML at Deckard Technologies, a role he has held since 2024. His position is based in Sydney, New South Wales, Australia. In addition to this role, he has been working as a Principal Data Scientist at the same company since 2019, accumulating a total of five years of experience in this capacity. His work focuses on leveraging advanced machine learning techniques to enhance the company's AI initiatives.
Previous Employment History
Victor Xie has a diverse employment history in the technology sector. He worked at Commonwealth Bank as a Senior Data Scientist from 2018 to 2019. Prior to that, he was a Principal R&D Engineer and Faculty Member at Shanghai Jiao Tong University from 2009 to 2013. His experience also includes roles at IBM, where he served as an Advisory R&D Engineer and Manager of Embedded System Solutions. He held positions at Qualcomm and ninemsn, enhancing his expertise in machine learning and video technology.
Education and Expertise
Victor Xie earned his PhD in Computer Application from Tsinghua University, where he studied from 1998 to 2003. He also holds a Bachelor's degree in Computer Science from the same institution, completed from 1993 to 1998. His educational background provides a strong foundation for his extensive expertise in AI/ML, cloud computing, and data processing frameworks. He is proficient in advanced machine learning frameworks such as TensorFlow and PyTorch, as well as cloud platforms like AWS.
Technical Skills and Specializations
Victor Xie possesses a strong technical skill set that includes proficiency in both front-end and back-end technologies. He is experienced with frameworks such as React, Angular, Flask, and ExpressJs. His deep understanding of data processing frameworks like Spark and Hadoop enables him to handle large-scale data projects effectively. Additionally, he has extensive experience in video codec and streaming video technologies, which contributes to his specialization in AI/ML.