Shengyao Zhuang

Questioner
DISC Type : c

Applied Scientist at Amazon

United States

Overview

Shengyao Zhuang is an Applied Scientist at Amazons AGI division, focusing on web search technologies, large language models, and information retrieval. A Ph. D. graduate from The University of Queensland, his research on neural rankers has been recognized with multiple best paper awards, driving advancements in LLM-powered search engines.

He has won several accolades for his work, including the Best Paper Award for research on the robustness of neural rankers to typos.

Personality Overview

Not Easily Convinced

Systematic

Price-Sensitive

While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters.  They generally do not appreciate an overfriendly approach and prefer to stay to-the-point. They prefer to do thorough analysis of any situation.

Topics They Care About

LLMs in Search
His entire career, from his Ph. D. to his current role at Amazon and post-doc at CSIRO, has been dedicated to applying Large Language Models to improve information retrieval.
Neural Rankers
He has received multiple awards for his papers on neural rankers and dense retrievers, indicating deep expertise and a passion for this specific AI subfield.
Zero-Shot Retrieval
Authored the "PromptReps" paper, which explores using LLM prompts for zero-shot document retrieval, showcasing his work on cutting-edge, training-free AI techniques.

Media Appearances

Shengyao has no verified media appearances

Work History

9-2025
Applied Scientist at Amazon
12-2023
Adjunct Lecturer at The University of Queensland
7-2019 - 11-2023
PHD Student at The University of Queensland
7-2019 - 7-2022
Tutor at The University of Queensland
3-2023 - 8-2025
Postdoctoral Researcher at CSIRO

Education

7-2019 - 12-2023
Doctor of Philosophy - PhD from The University of Queensland
2017 - 2018
Master of Information Technology from The University of Queensland

More Information

Social Presence :

Prographics :

Exp : 6 Location : United States Job Level : N/A Designation : Applied Scientist at Amazon
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Insights For Selling To Shengyao

During A Call Or A Meeting

DO's

  • Emphasise more on facts and measurable benefits
  • If you have a lower priced product compared to the competition, call out the same
  • Share as much information as possible regarding your product

DONT's

  • Avoid phrases like ‘do not worry about’, ‘no one compares to’ etc.
  • Avoid rushing them, be polite and patient
  • Don’t try to be too friendly or informal with them

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Shengyao is

  • Confidence that the product provides ROI, effective pricing and process adherence matter the most to them.

  • Will you ever get a clear answer from Shengyao

  • It doesn’t come naturally to them but they can say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Shengyao move?

  • They can move at a reasonable pace while making their decisions if they have the necessary information.

  • Can Shengyao take some risk or not?

  • They can take some risk if they are confident that they have analyzed the circumstances well.


You And Shengyao

Personality Compatibility


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