Larry Lu
Senior Product Manager at Alibaba Cloud
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolLarry Lu is a Senior Product Manager and machine learning engineer with 20+ years of hands-on experience designing data platforms, AI/ML products and large language model solutions for aviation, transportation and government clients. He has led delivery of nationwide, large-scale data and digital twin programs at Alibaba Cloud and previously drove technical solutions and customer engagements across SITA and Sabre, combining domain expertise in airports, airlines, rail and ports with strong data governance and architecture skills. Larry pairs product strategy and GTM leadership with deep technical chops—Oracle DBA, ETL, and ML model work including contributions to a widely used YOLOv3 Keras implementation—enabling him to bridge research, engineering and operations. He’s known for landing complex integrations in state-owned enterprises and international projects, motivating teams to meet measurable business outcomes while maintaining tight customer collaboration.
10 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shanghai Second Polytechnic University Computer Science and Technology
Stackoverflow
1reputation
0reached
0answers
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Github Skills (8)
mask-rcnn10
object-detection10
keras10
faster-rcnn10
computer-vision10
python10
yolov410
tensorflow9
Programming languages (4)
Github contributions (5)
xiaochus/YOLOv3
Apr 2018 - Nov 2018
Keras implementation of yolo v3 object detection.
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 10 commits, 3 PRs in 7 months
Contributions summary:Larry primarily focused on improving the object detection model's functionality and addressing bugs within the Keras implementation of YOLOv3. They fixed issues related to padding, residual blocks, and anchor box shape, directly modifying the `yad2k.py` and `yolo_model.py` files. Furthermore, the user made modifications to the demo script and video processing to improve the usability of the object detection tool.
pytorchdeep-learningobject-detectioncomputer-visiontensorflow
xiaochus/MobileNetV2
Feb 2018 - May 2019
A Keras implementation of MobileNetV2.
Contributions:12 commits, 2 PRs, 11 pushes in 1 year 3 months
keras-modelsdeep-learningmobilenetv2multiclass-classificationtensorflow
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