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Max Tran Email & Phone Number

Cofounder at Stealth
Location: Seattle, Washington, United States 9 work roles 3 schools
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Current company
Role
Cofounder
Location
Seattle, Washington, United States
Company size

Who is Max Tran? Overview

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Quick answer

Max Tran is listed as Cofounder at Stealth, a with 5559 employees, based in Seattle, Washington, United States. AeroLeads shows a matched LinkedIn profile for Max Tran.

Max Tran previously worked as CEO at Stealth and Software Engineer II at Amazon Web Services (Aws). Max Tran holds Bachelor'S Degree, Mathematics from University Of Washington.

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Stealth

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Profile bio

About Max Tran

I'm a SDE at Amazon with a strong interest in predictive modeling, machine learning, and scientific computing. Currently I'm in a team called Ads Attribution in Amazon Ads. We worked on providing deterministically attributes conversion event to ad traffic and ML-based estimated conversions when deterministic computation is impossible. Previously, I'm in a team called Forecasting Deep Learning. We use machine learning and AWS to build new state-of-the-art deep learning models and ML platforms to address some of the world's most complex challenges associated with Forecasting. As a result, this facilitates the success of Amazon.com and new businesses.

Listed skills include Mathematics, Physics, Sql Server, Cloud9, and 44 others.

Current workplace

Max Tran's current company

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Stealth
Stealth
Cofounder
Seattle, WA, US
Employees
5559
AeroLeads page
9 roles

Max Tran work experience

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

Cofounder

Seattle, Wa, Us

Ceo

Current

Los Angeles, California, Us

Sep 2024 - Present

Software Engineer Ii

Current

Seattle, Wa, Us

Designed several systems to help automate the daily workflow of security engineers team. In the process of integrating AI into these workflow to help make better business decision for security teams.

Jun 2024 - Present

Cto & Co-Founder

Current

Developed a platform designed to assist businesses and professionals in generating AI-driven media. This includes, but is not limited to, a wide range of content such as photos, videos, animations, 3D assets, and audio.Explore more through our apps and follow us on social media:iOS: https://apps.apple.com/be/app/venus-ai/id6462872236Android: https://play.google.com/store/apps/details?id=com.venus.venusai&hl=en_US&gl=USWeb App: Coming soon!instagram: https://www.tiktok.com/@team_venusaiFacebook: https://www.facebook.com/profile.php?id=61556284127120titkok: https://www.tiktok.com/@venusaiappReddit: https://www.reddit.com/r/team_venusai/FB group: https://www.facebook.com/share/Li7Nj882CXrsPEXS/?mibextid=K35XfP

Mar 2024 - Present

Software Development Engineer Ii

Seattle, Wa, Us

Worked on improving MQ-Transformer neural net model and deprecated several legacy models. Since these models are owned by different teams, I initiated org-level cross-team coordination to run backfills and backtest to replace those models with MQ-Transformer, and led multiple engineers within team and several different teams involvedImplemented several APIs in a large scale Machine Learning service that helped automate the process of running machine learning workflows on a daily basisLaunched one single forecasting Deep Learning model instance in 4 marketplaces which was trained on data from all 4 markets: Expanded the retail product demand forecasting model (implemented in MQ-Transformer) coverage to all retail North America, Europe, and Asia marketplaces. Iterated through training and backtesting in terms of selecting features and determining training periods with data scientists. Having a single model instance instead of a model per marketplace helps cut down computation and pipeline cost and speed up the process of model improvement significantlyDesigned CLI tools for automated training and backtesting pipeline and workflowDeveloped a service that helps streamline and automate the process of running large scale Machine Learning systems via mainly AWS Cloudformation, Lambda, DynamoDB, S3, and API Gateway and cut down the cost of computing power, money, and save 1/4 developer year for every year.Worked with ML scientists to train and productionized a state-of-the-art Machine Learning component called Attention that improved forecast accuracy significantly with the use of AWS Sagemaker and Step Function https://arxiv.org/abs/2009.14799 - MQ-TransformerImplemented a CLI tool that helped other scientists to onboard to which help streamline and automate the process of running Machine Learning training and inferenceWorked with ML scientists to help improve forecast accuracy by mean of various ML techniques

May 2019 - Jun 2024

Machine Learning Engineer Intern

Mumbai, Maharashtra, In

Solving problems in the E-commerce industry with the use of Machine Learning and Artificial Intelligence-Created a chatbot to answer customers’ questions using Chatterbot and botpress and deployed them to Heroku using Docker. Implemented a product description generator using SimpleNLG and WordNet with data crawled from the web using Apache Any23, BeautifulSoup and Scrapy.-Created a visual search service using MXNet with React frontend and deployed it to AWS using MXNet model server and Docker. Formatted and trained numerous datasets of size up to ​500Gb

Jan 2019 - Apr 2019

Math & Physics Tutor

University Of Washington Instruction Center

Helping UW students with physics, engineering, and math homework.

Jan 2015 - Jun 2017

Software Engineer Intern

Jp

§ Rapidly developed websites for 5 different clients ranging from small businesses to large nonprofit organizations using Bootstrap framework, jQuery, and JavaScript.§ Researched keywords using Google Adwords to improve the site’s SEO ranking and developed title tag, description of meta tags, and highlighted and added relevant links to site§ Identified trends in web traffic using Google Analytics that resulted in an increase of 40% in unique visitors

Jul 2016 - Nov 2016
3 education records

Max Tran education

Bachelor'S Degree, Mathematics

University Of Washington

Minor, Physics

University Of Washington

Education record

Cleveland High School
FAQ

Frequently asked questions about Max Tran

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

What company does Max Tran work for?

Max Tran works for Stealth.

What is Max Tran's role at Stealth?

Max Tran is listed as Cofounder at Stealth.

Where is Max Tran based?

Max Tran is based in Seattle, Washington, United States while working with Stealth.

What companies has Max Tran worked for?

Max Tran has worked for Stealth, Amazon Web Services (Aws), Venusai, Subtle Asian Tech, and Amazon.

How can I contact Max Tran?

You can use AeroLeads to view verified contact signals for Max Tran at Stealth, including work email, phone, and LinkedIn data when available.

What schools did Max Tran attend?

Max Tran holds Bachelor'S Degree, Mathematics from University Of Washington.

What skills is Max Tran known for?

Max Tran is listed with skills including Mathematics, Physics, Sql Server, Cloud9, Git, Public Speaking, Node.Js, and Mongodb.

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