Li Mingda
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Li Mingda Email & Phone Number

Applied Scientist II at Amazon, Alexa AI at Amazon
Location: Bellevue, Washington, United States 8 work roles 1 school
1 work email found @amazon.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Work email l****@amazon.com
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Current company
Role
Applied Scientist II at Amazon, Alexa AI
Location
Bellevue, Washington, United States

Who is Li Mingda? Overview

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Quick answer

Li Mingda is listed as Applied Scientist II at Amazon, Alexa AI at Amazon, based in Bellevue, Washington, United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Li Mingda.

Li Mingda previously worked as Applied Scientist II at Amazon and Applied Scientist Intern at Amazon Alexa. Li Mingda holds Doctor Of Philosophy (Ph.D.), Machine Learning And Distributed Database from Ucla.

Company email context

Email format at Amazon

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{first_initial}{last}@amazon.com
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AeroLeads found 1 current-domain work email signal for Li Mingda. Compare company email patterns before reaching out.

Profile bio

About Li Mingda

Li Mingda is a Applied Scientist II at Amazon, Alexa AI at Amazon. They possess expertise in c++, java, html, php, matlab and 8 more skills. Colleagues describe them as "Mingda did a summer internship in my team in 2018. He demonstrated strong ownership and was enthusiastic about getting the job done. He dived deep and explored several alternatives to address the problem and reasoned about the observed behavior. Mingda is receptive to feedback, extremely well organized and followed through on all questions. I look forward to having him join my team again next summer!"

Listed skills include C++, Java, Html, Php, and 9 others.

Current workplace

Li Mingda's current company

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Amazon
Amazon
Applied Scientist II at Amazon, Alexa AI
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8 roles

Li Mingda work experience

A career timeline built from the work history available for this profile.

Applied Scientist Ii

Current

Seattle, WA, US

In Amazon Alexa AI: Deep NLU (Natural Langauge Understanding) team, work as an Applied Scientist.Publications as follows:[1] Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention; [COLING 20'] Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza, Chengwei Su.

Aug 2020 - Present

Applied Scientist Intern

Seattle, WA, US

Work in Alexa AI NLU group. Use deep learning models (transformer, bi-lstm) to strengthen the Natural Language Understanding (NLU) tasks (Domain classification, Intent classification). One paper as following about integrating ASR N bests to enhance Spoken Language Understanding:https://arxiv.org/abs/2001.05284

Jun 2019 - Sep 2019

Software Engineer Intern

Seattle, WA, US

I worked in the AWS Redshift Query Processing Team. One part of my internship was to utilize machine learning algorithms to predict query resource requirement and design a queuing policy to manage workloads based on prediction result. I also worked on Short Query Acceleration (SQA) to persist timeout and the machine learning classifier model to seamlessly.

Jun 2018 - Sep 2018

Research Intern

Princeton, NJ, US

Work on an artificial way for IP spoofing defense. During the process, we developed many different models (linear and non-linear) making the final system accurate, efficient and open for new IPs. The project is a combination of network security and machine learning. It win a best paper award: https://dl.acm.org/citation.cfm?id=3229609 Three patents.

Jun 2017 - Sep 2017

Intern Of Teradata Lab

San Diego, California, US

In Optimizer Group (Query Optimization) and work on Multiple Join Optimization. Use look ahead algorithm to help optimizer peel the next n joins for execution and collect stats feedback. This will help the optimizer generate a more accurate plan in the following process. There are some challenges including converting the query according to the n joins each.

Jun 2016 - Sep 2016

Research Assistant

Los Angeles, CA, US

Combine Spark (powerful machine learning and graph libraries and fast execution), Apache AsterixDB (fast ingestion and indexing of semi-structured data and efficient answering of geo-spatial and fuzzy text queries) and Zeppelin (interactive data analytics) together to support big data analytics in cluster. Now, I am converting Spark SQL queries to.

Sep 2015 - Jun 2016
1 education record

Li Mingda education

  • Ucla
    Ucla
    Machine Learning And Distributed Database
FAQ

Frequently asked questions about Li Mingda

Quick answers generated from the profile data available on this page.

What company does Li Mingda work for?

Li Mingda works for Amazon.

What is Li Mingda's role at Amazon?

Li Mingda is listed as Applied Scientist II at Amazon, Alexa AI at Amazon.

What is Li Mingda's email address?

AeroLeads has found 1 work email signal at @amazon.com for Li Mingda at Amazon.

Where is Li Mingda based?

Li Mingda is based in Bellevue, Washington, United States while working with Amazon.

What companies has Li Mingda worked for?

Li Mingda has worked for Amazon, Amazon Alexa, Amazon Web Services, Nec Laboratories America, Inc., and University Of California, Los Angeles.

How can I contact Li Mingda?

You can use AeroLeads to view verified contact signals for Li Mingda at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Li Mingda attend?

Li Mingda holds Doctor Of Philosophy (Ph.D.), Machine Learning And Distributed Database from Ucla.

What skills is Li Mingda known for?

Li Mingda is listed with skills including C++, Java, Html, Php, Matlab, C, Microsoft Sql Server, and Mysql.

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