Ziheng Xu
Field Application Engineer
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolZiheng Xu is a Field Application Engineer with 8 years of experience specializing in AI-driven mobility and embedded systems, currently integrating Smart AI Mobility solutions at U POWER Tech. He combines hands-on algorithm and embedded work—3D object detection, tracking, RAG with LLMs, OpenCL kernels, and video-chain bring-ups—with cloud-native deployments on GCP using Kubernetes and microservices. Comfortable in B2B client engagements, he translates customer needs into scalable PoCs like remote diagnostics, FOTA, and mobile vehicle control while coordinating R&D and delivery. A UCLA MS in Computer Science underpins his blend of research-grade ML skills and practical engineering rigor. Notably, he moves fluidly between low-level SPI/device-tree modifications and higher-level telemetry and ML pipelines, enabling full-stack integration for smart mobility products.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at UCLA Henry Samueli School of Engineering and Applied ScienceBachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, Los Angeles
Stackoverflow
31reputation
8kreached
1answer
0questions
Github Skills (65)
object-detection9
toolbox9
benchmark9
faster-rcnn9
mask-rcnn8
openmmlab8
vision-transformer8
instance-segmentation8
datasets8
forge8
pose8
swin-transformer8
pytorch8
mobilenet8
deep-learning7
Programming languages (5)
Github contributions (5)
LawrenceXu13467/3D_CNN_Brain_Lesion_Segmentation
May 2018 - Oct 2018
Contributions:16 commits, 14 pushes in 4 months
LawrenceXu13467/Cardiano
May 2018 - Jan 2019
Contributions:15 commits, 12 pushes, 3 comments in 9 months
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