Hanhan Zhou

Critic
DISC Type : C

Applied Scientist at Amazon Web Services (AWS)

Santa Clara, California, United States

Overview

Hanhan Zhou is an Applied Scientist at AWS AI Labs, where he focuses on building AI agents for Amazon Q. He holds a Ph. D. from The George Washington University, specializing in reinforcement learning, distributed learning, and foundation models. He is also certified in Machine Learning with TensorFlow on Google Cloud Platform.

Personality Overview

Objective Thinker

Negotiator

ROI Driven

Unless the value is proven by data, they are unlikely to value fancy features.  They enjoy working alone and do not rely on others very often. They prefer to do logical analysis and value evidence over emotions.

Topics They Care About

AI Agents
His current role at AWS involves building coding and web agents for Amazon Q, focusing on planning and reasoning.
Reinforcement Learning
A core area of his Ph. D. research and a topic he frequently presents on at academic conferences like NeurIPS.
Explainable AI
His recent research aims to extract decision trees from trained AI policies, making them more explainable and easier to implement in real-time tasks.

Media Appearances

Hanhan has no verified media appearances

Work History

7-2024
Applied Scientist at Amazon Web Services (AWS)
9-2019 - 6-2024
Research Assistant at The George Washington University
10-2023 - 5-2024
Student Researcher at Meta
8-2017 - 7-2018
Graduate Ambassador at The George Washington University - School of Engineering & Applied Science
11-2016 - 4-2017
Software Engineer Intern at Beijing Lanxum New Technology Co., Ltd.

Education

9-2019 - 5-2024
Doctor of Philosophy - PhD from The George Washington University
Master of Science - MS from The George Washington University - School of Engineering & Applied Science

More Information

Social Presence :

Prographics :

Exp : 7 Location : Santa Clara, California, United States Job Level : N/A Designation : Applied Scientist at Amazon Web Services (AWS)
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Insights For Selling To Hanhan

During A Call Or A Meeting

DO's

  • Be ready for penetrating questions and critical examination of your pitch
  • Don’t forget to mention how you compare to competition on both features and pricing
  • Use phrases like ‘expect X% improvement’, ‘data clearly shows’ etc.

DONT's

  • Do not use very emotional or colorful language
  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Don’t rush them till they have clearly gotten all the necessary information

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Hanhan is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Hanhan

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Hanhan move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Hanhan take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Hanhan

Personality Compatibility


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