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Wei Yang Email & Phone Number

Applied AI and ML Engineer at Intuitive
Location: Sunnyvale, California, United States 8 work roles 4 schools
1 work email found @gatech.edu LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email w****@gatech.edu
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Current company
Role
Applied AI and ML Engineer
Location
Sunnyvale, California, United States

Who is Wei Yang? Overview

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Quick answer

Wei Yang is listed as Applied AI and ML Engineer at Intuitive, based in Sunnyvale, California, United States. AeroLeads shows a work email signal at gatech.edu and a matched LinkedIn profile for Wei Yang.

Wei Yang previously worked as AI/ML Data Scientist at Intuitive and Data Scientist at Intuitive. Wei Yang holds Doctor Of Philosophy - Phd, Machine Learning from Georgia Institute Of Technology.

Company email context

Email format at Intuitive

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{first}.{last}@gatech.edu
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AeroLeads found 1 current-domain work email signal for Wei Yang. Compare company email patterns before reaching out.

Profile bio

About Wei Yang

I completed my PhD in machine learning at Georgia Institute of Technology under the supervision of Prof Kamran Paynabar. I was awarded Novelis Scholar and Stewart Fellowship. My PhD thesis is related to high dimensional data analysis including functional data, images and videos for process monitoring and diagnosis with applications in additive manufacturing and green energy.

Listed skills include Solidworks, Research, Matlab, Comsol, and 11 others.

Current workplace

Wei Yang's current company

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Intuitive
Intuitive
Applied AI and ML Engineer
Website
AeroLeads page
8 roles

Wei Yang work experience

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

Applied Ai And Ml Engineer

Sunnyvale, Ca, Us

Ai/Ml Data Scientist

California, 94086, Us

Work on Intuitive Assistant and GenAI products

Data Scientist

California, 94086, Us

Algorithm development for time series change point detection and clusteringCreate and update database in Snowflake using DatabricksData visualization for system performance using Tableau

May 2023 - Aug 2024

Machine Learning Engineer

Rancho Cordova, California, Us

Built deep learning models to predict optimal read voltages and drive failure rates based on history data using TensorFlow and PyTorch Developed a recursive algorithm to reduce drive read failure trigger rateDeployed the model onto the chip using machine learning framework

May 2022 - Aug 2022

Data Scientist

Singapore, Singapore, Sg

Utilised Elastic Search with fast-cosine-similarity plugin to query top-k embeddings for different behaviour networks;Utilised multi-threading, multiple clusters, product quantisation and Faiss to improve search speed;Integrated Elastic Search query module into Airflow Data pipelines;Re-designed textual and numerical features using Spark and determined feature importance using extra tree classifier;Utilised spark SQL to build nodes and edges for Share-IP behaviour graph;Utilised Min-hash to encode raw features and performed connected components and community detection to generate unique user clusters;Visualised unique user clusters using neo4j to demonstrate strong connections based on fuzzy evidence.

Feb 2019 - Jul 2019

Research Assistant

New York, Ny, Us

Research assistant at Robotics And Rehabilitation (RoAR) Lab directed by Prof. Sunil Agrawal• Participated in designing control algorithm for the mobile companion robot;• Exam the viability of replacing Vicon with IMU using Raspberry Pi to synchronize the signal;• Simulated the arm swinging process in Matlab;• Manufactured parts of the device using laser cutting;• Participated in the experiments designed to validate the effect of stability improvement and analyzed results.

Jan 2018 - Sep 2018

Big Data Engineer

合肥, 安徽, Cn

• Utilized TensorFlow to implement IRT model to predict the students’ mastery of knowledge;• Used Hive SQL to determine the statistics about the effectiveness of e-learning recommendation system;• Implemented Trans E algorithm to realize knowledge graph embeddings of large dataset using TensorFlow.

May 2018 - Jul 2018
4 education records

Wei Yang education

Doctor Of Philosophy - Phd, Machine Learning

Georgia Institute Of Technology

Master Of Science - Ms, Statistics

Georgia Institute Of Technology

Master Of Science - Ms, Mechanical Engineering With Concentration In Robotics And Control

Columbia University

Bachelor Of Engineering With Honors (Highest Distinction), Mechanical Engineering

National University Of Singapore
FAQ

Frequently asked questions about Wei Yang

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

What company does Wei Yang work for?

Wei Yang works for Intuitive.

What is Wei Yang's role at Intuitive?

Wei Yang is listed as Applied AI and ML Engineer at Intuitive.

What is Wei Yang's email address?

AeroLeads has found 1 work email signal at @gatech.edu for Wei Yang at Intuitive.

Where is Wei Yang based?

Wei Yang is based in Sunnyvale, California, United States while working with Intuitive.

What companies has Wei Yang worked for?

Wei Yang has worked for Intuitive, Georgia Institute Of Technology, Solidigm, Shopee, and Columbia University In The City Of New York.

How can I contact Wei Yang?

You can use AeroLeads to view verified contact signals for Wei Yang at Intuitive, including work email, phone, and LinkedIn data when available.

What schools did Wei Yang attend?

Wei Yang holds Doctor Of Philosophy - Phd, Machine Learning from Georgia Institute Of Technology.

What skills is Wei Yang known for?

Wei Yang is listed with skills including Solidworks, Research, Matlab, Comsol, C, Originlab, Metallurgy, and Metalworking.

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