Arrow Luo
Hardware Product Quality Engineer - AI ML at Meta
Singapore
Summary
👤
Senior🎓
Top SchoolArrow Luo is a seasoned hardware product quality engineer with 10+ years driving manufacturing excellence across data center, server and board-level products in Asia, currently leading AI/ML hardware quality at Meta in Singapore. He blends deep hands-on expertise in NPI, failure analysis, supplier process capability and factory audits with cross-functional leadership—helping translate design intent into robust, scalable production. His career spans Oracle, Sun, Riverbed and MiTAC where he repeatedly closed yield gaps, led RCCA efforts, and managed complex supplier ecosystems for high-volume server platforms. Unusually for a hardware specialist, he also contributes to ML open-source work (e.g., improving CLIP4Clip’s video retrieval pipeline and compression utilities), signaling a pragmatic intersection of firmware/hardware engineering and machine learning tooling.
10 years of coding experience
19 years of employment as a software developer
Bachelor, EE, A, Bachelor, EE, A at 山东科技大学
English, Chinese
Github Skills (9)
video-processing10
pytorch10
machine-learning10
clip10
python10
computer-vision9
tensorflow4
dockers3
docker3
Programming languages (5)
Github contributions (5)
ArrowLuo/CLIP4Clip
Apr 2021 - Jun 2022
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 25 commits, 6 PRs in 1 year 1 month
Contributions summary:Arrow focused on improving the video retrieval pipeline and model training aspects of the CLIP4Clip project. They addressed printing errors within the dataloaders, fixed a model optimization issue related to parameters and added support for ViT/16 and additional dataloaders. Furthermore, they added a video compression utility and corrected an issue with missed video files in the compression process and a bug related to evaluating the retrieval task.
multimodal-learningend-to-endretrieval-modelactivitynetclip
microsoft/UniVL
Oct 2020 - Apr 2021
An official implementation for " UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation"
Contributions:1 release, 15 commits, 5 pushes in 5 months
model-trainingtrainingvideomultimodal-sentiment-analysisunderstanding
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.