Xander Cai is a data scientist with nine years of experience blending machine learning and computer vision expertise with a strong background in digital IC design and emulation from roles at Huawei and Siemens EDA. He pairs advanced degrees in data science and microelectronics with hands-on experience as an emulation specialist and verification engineer, enabling him to tackle problems at the intersection of hardware and ML-driven software. Based in Christchurch, New Zealand, he brings practical consulting and pre/post-sales support experience to model development and productionization. Xander’s cross-disciplinary training in mechatronics and microelectronics gives him an uncommon ability to translate low-level hardware constraints into robust data-driven solutions.
9 years of coding experience
8 years of employment as a software developer
Master of Science, Data Science, Master of Science, Data Science at University of Canterbury
Master of Engineering - MEng, Microelectronics and Solid Electronics, Master of Engineering - MEng, Microelectronics and Solid Electronics at Huazhong University of Science and Technology
Bachelor of Engineering - BE, Mechatronics, Bachelor of Engineering - BE, Mechatronics at Wuhan University of Technology
FORK from -- A package for generating hydrologically conditioned DEMs and roughness maps from LiDAR and other infrastructure data. Check the wiki for install and usage instructions, and documentation at https://rosepearson.github.io/GeoFabrics/
Contributions:8 pushes, 3 branches in 7 months
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