Lai Wei Email & Phone Number
@amazon.com
LinkedIn matched
Who is Lai Wei? Overview
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Lai Wei is listed as Engineering Manager @ Meta | ex-AWS at Meta, based in Sunnyvale, California, United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Lai Wei.
Lai Wei previously worked as Software Engineering Manager at Meta and Software Development Manager at Amazon Web Services (Aws). Lai Wei holds Master'S Degree, Electrical And Computer Engineering from Carnegie Mellon University.
Email format at Meta
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AeroLeads found 1 current-domain work email signal for Lai Wei. Compare company email patterns before reaching out.
About Lai Wei
With over six years of experience in software development and engineering, I have developed a strong expertise in AI and distributed systems, especially in the areas of large-scale model training, machine learning frameworks, and multi-modal data recommendation. I work as a Senior Software Development Engineer at AWS AI, where I optimize PyTorch to help customers train large models efficiently.At AWS AI, I have also contributed to various projects and services, such as SageMaker Distributed DataParallel Library, Deep Java Library, and MXNet. I contributed to the fastest training time for MaskRCNN and T5 in any public cloud in 2020. I have also delivered a workshop on transfer-learning based cross-domain recommendation at the ACM Conference on Recommender Systems. I am passionate about AI and always eager to learn new technologies and solve challenging problems. My goal is to empower customers and developers with the best tools and solutions for AI and distributed training.
Listed skills include Java, Matlab, C, C#, and 32 others.
Lai Wei's current company
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Lai Wei work experience
A career timeline built from the work history available for this profile.
Software Development Manager
Current
Senior Software Development Engineer
Distributed training on AWS, optimizing PyTorch to help customers train large models
Software Development Engineer Ii
working on ML frameworks and distributed training at AWS AI:- SageMaker Distributed DataParallel Library- Large Scale Distributed Training: achieved fastest training time for MaskRCNN and T5.- Deep Java Library: Framework agnostic Deep Learning toolbox built for Java developers
Software Development Engineer I
- MXNet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning- Keras-MXNet: Fast and efficient MXNet backend for popular high level deep learning API Keras
Software Engineer, Big Data Analytics
- User2Vec for Ad Targeting- Unified User Profile for News Recommendation
Software Engineer Intern
Project Officer
Developed machine learning methods for fault detection on machines using vibration/acoustic emission signals, paper published at ETFA, IEEE
Intern At Plant Computing Group
Lai Wei education
Master'S Degree, Electrical And Computer Engineering
Bachelor Of Engineering (Beng), Electric & Electronic Engineering
Exchange Student, Electrical And Electronics Engineering
High School
Frequently asked questions about Lai Wei
Quick answers generated from the profile data available on this page.
What company does Lai Wei work for?
Lai Wei works for Meta.
What is Lai Wei's role at Meta?
Lai Wei is listed as Engineering Manager @ Meta | ex-AWS at Meta.
What is Lai Wei's email address?
AeroLeads has found 1 work email signal at @amazon.com for Lai Wei at Meta.
Where is Lai Wei based?
Lai Wei is based in Sunnyvale, California, United States while working with Meta.
What companies has Lai Wei worked for?
Lai Wei has worked for Meta, Amazon Web Services (Aws), Cheetah Mobile, Gemalto, and Nanyang Technological University, Singapore.
How can I contact Lai Wei?
You can use AeroLeads to view verified contact signals for Lai Wei at Meta, including work email, phone, and LinkedIn data when available.
What schools did Lai Wei attend?
Lai Wei holds Master'S Degree, Electrical And Computer Engineering from Carnegie Mellon University.
What skills is Lai Wei known for?
Lai Wei is listed with skills including Java, Matlab, C, C#, Python, Web Services, Linux, and Microsoft Office.
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