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Applied Science Manager @ Amazon Web Services (AWS) | Generative AI Innovation Center
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Yingwei Yu received his Ph.D. from the department of computer science at Texas A&M University. Now he is a Applied Science Manager at Amazon Web Services (AWS) Generative AI Innovation Center .
Texas A&M University
Ph.D., Computer Science
N/A – Present
Beihang University
B.S., Computer Science
N/A – Present
Amazon Web Services (AWS)
Applied Science Manager
August 1, 2024 – Present
Amazon Web Services (AWS)
Senior Applied Scientist
December 1, 2023 – August 1, 2024
Amazon Web Services (AWS)
Applied Scientist
April 1, 2022 – December 1, 2023
Amazon
Applied Scientist
August 1, 2021 – April 1, 2022
Schlumberger
Sr. (III) Artificial Intelligence Engineer
August 1, 2016 – August 1, 2021
Katy
IHS
Principal Research Scientist
August 1, 2011 – August 1, 2016
Houston, TX
University of Phoenix
Faculty
December 1, 2008 – September 1, 2012
Seismic Micro-technology, Inc. (Acquired by IHS)
Sr. Software Developer (Tech Lead)
August 1, 2006 – August 1, 2011
Greater Houston · On-site
Texas A&M University
Research Assistant
August 1, 2001 – August 1, 2006
College Station, TX
Formax BPO Beijing
Project Manager
July 1, 1997 – July 1, 2001
Beijing, China
Kingdom Seeker
January 1, 2007 – January 1, 2009
3D horizon autopicking algorithm based on a patented pattern recognition technique, highly robust and eccurate. Provided with Kingdom software.
Generative AI with Large Language Models
DeepLearning.AI
June 24, 2026 – Present
Foundation and Focus
Pragmatic Institute
June 24, 2026 – Present
SEG Continue Education Program: Processing, Inversion and Reconstruction Seismic Data
SEG
June 24, 2026 – Present
MIT Continue Education: Tackling the Challenges of Big Data
MIT Professional Education
June 24, 2026 – Present
Intro to Hadoop and MapReduce
Udacity
June 24, 2026 – Present
SEG Continue Education: Structual Geology in Seismic Interpretation
SEG
June 24, 2026 – Present
Self-Driving Car Engineer
Udacity
June 24, 2026 – Present
Deep Reinforcement Learning Nanodegree
Udacity
June 24, 2026 – Present
Generative Adversarial Networks (GANs) Specialization
Coursera
June 24, 2026 – Present
AWS Generative AI Foundational (L100)
Amazon Web Services (AWS)
June 24, 2026 – Present
Course Certificate: : Unlocking the Power of Perspectives
MIT Sloan Executive Education
June 24, 2026 – Present
Course Certificate: Master Design Thinking
MIT Sloan Executive Education
June 24, 2026 – Present
Course Certificate: Communication and Persuasion in the Digital Age
MIT Sloan Executive Education
June 24, 2026 – Present
Course Certificate: Understanding and Solving Complex Business Problems
MIT Sloan Executive Education
June 24, 2026 – Present
Program Certificate: Executive Certificate in Management and Leadership
MIT Sloan Executive Education
June 24, 2026 – Present
AWS Certified Cloud Practitioner - Foundational
Amazon Web Services (AWS)
June 24, 2026 – Present
Mentoring Certificate - January 2025
Amazon
June 24, 2026 – Present
AWS Certified AI Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience across various companies (Amazon, AWS, Schlumberger, IHS) and roles, from individual contributor to manager, suggests adaptability. The academic background combined with industry innovation (patented algorithms) indicates a blend of theoretical depth and practical application. The breadth of certifications, including those in leadership and design thinking, points to a proactive approach to continuous learning and professional development, which generally aligns well with dynamic, innovation-driven cultures. The target role of ML Engineer aligns well with the candidate's core technical expertise.
Soft Skills & Operational Fit
The candidate's resume highlights 'Communication' and 'Technical Leadership' across multiple roles, including a faculty position and project management. Certifications from MIT Sloan Executive Education in 'Communication and Persuasion' and 'Management and Leadership' further support strong soft skills. Experience as an 'Applied Science Manager' and 'Sr. Software Developer (Tech Lead)' indicates operational fit for leading projects and teams.