Weixiang Yan

Observer
DISC Type : ci

Applied Scientist II at Amazon

Palo Alto, California, United States

Overview

Weixiang Yan is an Applied Scientist at Amazons Generative Foundation Modeling team, specializing in hallucination mitigation, agentic reinforcement learning, and code reasoning. A graduate of UC Santa Barbara and a co-founder of Vaneval AI, he has a strong background in academic and corporate research, with internships at Microsoft and Alibaba.

His professional passion revolves around enhancing the reliability and reasoning of large language models. He actively publishes research, recently introducing a formal concept for "code hallucinations" and exploring methods for AI to mimic human-like abstract reasoning through what he terms "Soft Thinking, " indicating his interests are deeply integrated with his work.

He is a member of the BigCode team, an open-source initiative focused on developing advanced, intelligent coding tools.

Personality Overview

Curious

Example Seeker

Assertive

They can sound friendly and charming but can quickly change gears to become inquisitive and probing.  They ask a lot of questions and rely heavily on information and collaterals. They are generally strong communicators and are not easy to convince.

Topics They Care About

LLM Hallucination
A primary focus of his current role at Amazon and the subject of his recent publications, where he has introduced frameworks for classifying and detecting code hallucinations.
AI Code Generation
A consistent theme throughout his research internships and publications, focusing on benchmarks for code understanding, generation, and translation across dozens of programming languages.
Agentic Reinforcement Learning
One of his key focus areas at Amazon, indicating an interest in creating more autonomous and goal-oriented AI systems, particularly in complex domains like stock trading.

Media Appearances

Weixiang has no verified media appearances

Work History

12-2024
Applied Scientist II at Amazon
11-2023 - 8-2024
Co-founder and CTO at Vaneval AI
7-2022 - 1-2023
Research Intern at Alibaba Group
6-2021 - 10-2021
Research Intern at Microsoft
11-2020 - 5-2021
Research Intern at Peking University

Education

9-2023 - 12-2024
Master of Science - MS from UC Santa Barbara
9-2018 - 6-2022
Bachelor of Science - BS from Beijing University of Posts and Telecommunications

More Information

Social Presence :

Prographics :

Exp : 2 Location : Palo Alto, California, United States Job Level : N/A Designation : Applied Scientist II at Amazon
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Insights For Selling To Weixiang

During A Call Or A Meeting

DO's

  • Use phrases like ‘clear proof that’, ‘data shows’ etc.
  • Share testimonials from known people and give multiple examples of product value
  • Help them realize that there is no personal risk in making this decision

DONT's

  • Don’t try to rush them into a decision, provide all necessary information first
  • Don’t rely excessively on your relationship with them to win the deal
  • Don’t brush off any concerns, take all questions seriously

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Weixiang is

  • Proven value, strong testimonials are important for them, rapport can impact decisions a little.
  • Will you ever get a clear answer from Weixiang

  • They are practical yet friendly, don’t expect a clear no very often.

Insights For Deal Planning

    How fast (or slow) will Weixiang move?

  • They like to analyze well and then make their decisions.
  • Can Weixiang take some risk or not?

  • They weigh all decisions systematically and are unlikely to take many risks.

You And Weixiang

Personality Compatibility


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