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Zongyi Li

Software Development Engineer in Amazon

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About

Zongyi Li is a highly skilled software development engineer currently working at Amazon as a Software Development Engineer in the SCOT Forecasting Topline Team. With a strong foundation in programming languages such as Java, C, and Python, Zongyi has extensive experience in web and mobile development projects and is familiar with backend frameworks such as Django, Flask, Nodejs, and frontend frameworks like Angular.js and d3.js. Additionally, Zongyi has completed various machine learning courses, including Big data health, Computer Vision, and Machine Learning, and has worked on several ML projects. Zongyi is a self-motivated individual with strong self-learning skills, making him a valuable asset in software development. In his current role at Amazon, Zongyi has worked on various projects, including heading the GLIDER project, where he reconstructed infrastructures, computing resources, serverless frameworks, and orchestration workflows in Native AWS. He also designed and implemented the Topline Workflow Notification and Ticketing System to monitor workflow and notify the team of workflow status via Email and Slack channel, among other achievements. Zongyi has also worked as a Software Engineer Intern at Amazon, where he used AWS tools to build a one-click application to automatically generate Unit Per Purchase Forecast in production, resulting in increased supply chain speed and achieving One-day shipping. He also worked as a Graduate Research Assistant at the Georgia Institute of Technology. Zongyi holds a Master's degree in Computer Science from the Georgia Institute of Technology and a Bachelor's degree in Remote Sensing Science and Technology from Wuhan University. He has extensive experience in various technologies, including AWS, ML, Javascript, Computer Vision, Integration, infra, Big Data, Sagemaker, MySQL, MongoDB, Flask, Mobile, Frontend, Backend, Web, Docker, Research Scientist, AngularJS, Python, and Django. With 2.94 years of relevant experience, Zongyi is a highly skilled software development engineer with a passion for learning and a proven track record of delivering high-quality projects.

Education Overview

georgia institute of technology

wuhan university

Companies Overview

amazon

georgia institute of technology

Experience Overview

4.3 Years

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Experience

Software Engineer

amazon | 美国 华盛顿州 西雅图

2020 - Present

Software Engineer Intern

amazon | Seattle

2019 - 2019

Graduate Research Assistant

georgia institute of technology | Greater Atlanta Area

2019 - 2019

Research Assistant

| Department of Remote Sensing

2015 - 2017

Skills

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Amazon S3

Amazon Web Services (AWS)

AngularJS

AWS Lambda

Backend

Big Data

Computer Vision

d3DotJs

Design

Docker

Firebase

Flask

forecasting

Frontend

infra

Infrastructure

Machine Learning (ML)

MongoDB

MySQL

operations

Research

Research Scientist

Sagemaker

Software Engineer

Vision

Contact Details

Email (Verified)

islXXXXXXXXXXXXXXXom

Mobile Number

206XXXXX79

Education

georgia institute of technology

Master's degree

2017 - 2019

wuhan university

Bachelor's degree

2013 - 2017

Frequently asked questions

What company does Zongyi Li work for?

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Zongyi Li works for amazon

What is Zongyi Li role in his workplace?

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Zongyi Li's role in his workplace is Software Engineer

What is Zongyi Li's tenure in his workplace?

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Zongyi Li's tenure in his workplace is 4.51 years

What is Zongyi Li's total experience?

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Zongyi Li's total experience is 4.25 years

What is Zongyi Li's LinkedIn profile?

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Zongyi Li's LinkedIn profile can be found here

What is Zongyi Li's email address?

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Zongyi Li's email address is islXXXXXXXXXXXXXXXom. Unlock here

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Zongyi Li's phone number is 206XXXXX79. Unlock here

What schools did Zongyi Li attend?

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Zongyi Li has attended georgia institute of technology, wuhan university

What companies has Zongyi Li worked with?

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Zongyi Li has worked with amazon, amazon, georgia institute of technology,

What are some of Zongyi Li's skills?

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Zongyi Li has skills in Amazon S3, Amazon Web Services (AWS), AngularJS, AWS Lambda, Backend, Big Data and more.

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