Asad Zia is a founding architect who combines 20+ years of deep systems engineering with product-facing AI and automotive platform leadership, building production-grade, reliable systems teams can trust. He has led complex AAOS, embedded Linux/RTOS, and cloud-native AI initiatives—delivering microsecond time sync, mixed-criticality isolation, and governed multi-agent copilots for developer productivity and compliance. Known for turning ambitious prototypes into operational products, he spearheads AI observability, PromptOps/AgentOps, and CRA/EU regulatory alignment at scale. His background spans low-level wins like GPU virtualization and fast-boot optimizations to winning the Lyft Perception Challenge for semantic segmentation, reflecting both kernel-level craft and ML systems savvy. Based in Lahore, he excels where strict determinism, latency constraints, and regulatory reality must be reconciled with product direction and delivery.
10 years of coding experience
4 years of employment as a software developer
Nanodegree, Self-Driving Car Engineer, Nanodegree, Self-Driving Car Engineer at Udacity
Bachelor of Science (BSc), Electrical and Electronics Engineering, Bachelor of Science (BSc), Electrical and Electronics Engineering at University of Engineering and Technology, Lahore
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