Junbo L
Staff Applied Scientist at Alibaba Group
United States
Summary
👤
Senior🎓
Top SchoolJunbo L is a Staff Applied Scientist with 11 years of experience building and deploying large-scale AI systems, currently focused on advancing LLM capabilities at Alibaba after leading ML efforts at Amazon. At Amazon he contributed to ambitious initiatives including Amazon AGI for next-generation Alexa, large-scale deep learning inference for Amazon Go, robotics AI, and production computer vision pipelines. He combines a strong academic foundation—a MS in Computer Science from USC and a BS in Automation Engineering from Zhejiang University—with hands-on expertise in model training, system optimization, and production ML engineering. Known for translating research into reliable, scalable products, he thrives at the intersection of cutting-edge models and real-world systems engineering. Colleagues describe him as pragmatic and results-driven, able to shepherd prototypes into high-throughput services.
11 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Southern CaliforniaBachelor's degree Automation Engineering, Bachelor's degree Automation Engineering at Zhejiang University
Github Skills (38)
kotlin10
java10
update-in10
android10
jvm9
controller9
foundry9
lvm9
nas9
http-client9
csi9
k8s8
sdk8
terraform-provider8
terraform8
Programming languages (4)
Github contributions (5)
openyurtio/yurt-device-controller
Jan 2022 - Aug 2022
This repository contains the device-controller that leverages EdgeX Foundry to manage edge devices
Contributions:2 releases, 33 reviews, 14 commits in 7 months
foundrycontrollerleveragesedge-devicesedgex
wawlian/openyurt
Feb 2021 - Jul 2022
OpenYurt - Extending your native Kubernetes to edge
Contributions:15 pushes, 8 branches in 1 year 5 months
edgek8skuberneteskubernetes-tokubernetes-native
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