Leonardo Lai is an AI backend team lead with 8 years of experience designing scalable microservices and production pipelines for computer vision and deep learning systems. At Intel he moved from core contributor to lead of the Geti backend, co-designing APIs and active-learning services that keep an open-source AI platform stable, secure, and performant. His background spans startups and research labs—building real-time autonomy stacks for drones, bare-metal hypervisors for real-time isolation, and reliable distributed logging for scientific workloads—so he bridges embedded systems, ML, and cloud-native engineering. He favors clean, maintainable architectures and effective team communication, and outside work pursues photography, vinyl collecting and recipe experiments, reflecting a hands-on, creative curiosity that informs his engineering.
8 years of coding experience
3 years of employment as a software developer
Licentiate, Computer Engineering, 100/100, Licentiate, Computer Engineering, 100/100 at Sant'Anna School of Advanced Studies
Master's degree, Embedded Computing Systems, 110/110 cum laude, Master's degree, Embedded Computing Systems, 110/110 cum laude at University of Pisa
Diploma, 100 e Lode, Diploma, 100 e Lode at Scientific lyceum
Contributions:2 releases, 70 commits, 1 PR in 1 year 1 month
nfvdpdkvirtual-networkjuniperkernel-bypass
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Leonardo Lai - AI Backend Team Lead at Intel Corporation