Yuan Li
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Yuan Li Email & Phone Number

Software Engineer - AI and ML, AWS Neuron Distributed Training at Amazon Web Services (AWS)
Location: Mountain View, California, United States 5 work roles 2 schools
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✓ Verified July 2026 3 data sources Profile completeness 86%

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Current company
Role
Software Engineer - AI and ML, AWS Neuron Distributed Training
Location
Mountain View, California, United States
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Who is Yuan Li? Overview

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Quick answer

Yuan Li is listed as Software Engineer - AI and ML, AWS Neuron Distributed Training at Amazon Web Services (AWS), a with 142019 employees, based in Mountain View, California, United States. AeroLeads shows a matched LinkedIn profile for Yuan Li.

Yuan Li previously worked as Software Engineer - AI and ML, AWS Neuron Distributed Training - Multimodal at Amazon Web Services (Aws) and Deep Learning Research Intern at Carnegie Mellon University. Yuan Li holds Master Of Science - Ms from Carnegie Mellon University.

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Amazon Web Services (AWS)

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Profile bio

About Yuan Li

Hello! I'm a graduate student currently pursuing an M.S. in Software Engineering at Carnegie Mellon University. Prior to this, I received my B.Sc. from Zhejiang University, where I was honored with the 1st Class Scholarship and Graduate Excellence Award. Currently, I am exploring federated learning and machine learning systems that enable distributed models training on decentralized data across devices while preserving privacy. Throughout my journey, I have gained diverse experiences from research focus on optimizing machine learning algorithm and systems using cloud computing, federated learning, and other parrallel computing + ML techniques such as Python, Ray, Kubernetes and AWS. As I look forward to full-time positions, I am passionate about roles as a Machine Learning Researcher, Machine Learning Engineer, or Software Engineer. I am eager to contribute to and learn from dynamic tech environments, collaborating with enthusiastic and talented teams.

Current workplace

Yuan Li's current company

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Amazon Web Services (AWS)
Amazon Web Services (Aws)
Software Engineer - AI and ML, AWS Neuron Distributed Training
Seattle, WA, US
Website
Employees
142019
AeroLeads page
5 roles

Yuan Li work experience

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Deep Learning Research Intern

Pittsburgh, Pennsylvania, United States

Working with Prof. Carlee Joe-Wong on federated learning for optimizing machine learning algorithms and building efficient and reliable machine learning systemsDeveloped an released PyTorch package for distributed training of graph neural networks. Optimized distributed machine learning systems using Python, Kuberay, Kubernetes and AWS

Software Engineer Intern

Developed an end-to-end communication service that uses Web3 block-chain technology to maintain security and solve spam problems, won Gold Prize in Ethereum Shanghai Hackathon 2022

May 2023 - Aug 2023

Machine Learning Research Assistant

Working with Prof. Fang to build an Encoder Transformer NLP model to distinguish supply chain contracts/non-supply chain stacked in Tensorflow

Jun 2022 - Sep 2022
2 education records

Yuan Li education

Master Of Science - Ms

Research Assistant at CMU LIONS research group focus on Federated Learning, Machine Learning Systems and Cloud Computing.

Bachelor Of Science - Bs, 3.95/4.00

Activities and Societies: Collegiate Road Cycling Athlete, Leader of Team ZJU 2021-2023 Research Assistant working with Prof. Fang focus.

FAQ

Frequently asked questions about Yuan Li

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What company does Yuan Li work for?

Yuan Li works for Amazon Web Services (AWS).

What is Yuan Li's role at Amazon Web Services (AWS)?

Yuan Li is listed as Software Engineer - AI and ML, AWS Neuron Distributed Training at Amazon Web Services (AWS).

Where is Yuan Li based?

Yuan Li is based in Mountain View, California, United States while working with Amazon Web Services (AWS).

What companies has Yuan Li worked for?

Yuan Li has worked for Amazon Web Services (Aws), Carnegie Mellon University, Metamail, and Zhejiang University.

How can I contact Yuan Li?

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What schools did Yuan Li attend?

Yuan Li holds Master Of Science - Ms from Carnegie Mellon University.

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