Zhenyu Song

Examiner
DISC Type : sc

Applied Scientist at Amazon Web Services (AWS)

Sunnyvale, California, United States

Overview

Zhenyu Song is an Applied Scientist at Amazon Web Services (AWS) AI Labs, focusing on building systems for large language models. A PhD graduate from Princeton University, his research specializes in leveraging machine learning to enhance content delivery network (CDN) caching, with a notable project deployed at YouTube.

While his public profile is professionally focused, he has demonstrated a commitment to mentoring the next generation of computer scientists, having guided several Princeton undergraduate students who have since moved on to roles at major tech companies and prestigious PhD programs.

His PhD research led to the development of a novel caching algorithm deployed in YouTubes CDN, significantly reducing infrastructure costs.

Personality Overview

Unexpressive

Status Quo Seeker

Tough To Convince

They are heavily focused on quality and prefer doing things the right way, even if it takes time.  They are thorough and always follow a systematic approach. They tend to have clarity about their needs and constraints, and are unlikely to over-promise.

Topics They Care About

Systems for LLMs
His current role at AWS is dedicated to developing systems for large language models, including Mixture of Experts (MoE) inference and training on specialized hardware like Trainium.
Learning-based Caching
His PhD dissertation and key publications focus on optimizing CDN caches with machine learning, directly leading to a cost-saving deployment at YouTube.
ML Infrastructure
His career demonstrates a consistent focus on applying machine learning to core systems and infrastructure challenges at companies like AWS, YouTube, and Microsoft.

Media Appearances

Zhenyu has no verified media appearances

Work History

10-2023
Applied Scientist at Amazon Web Services (AWS)
7-2021 - 1-2023
Student Researcher at YouTube
5-2020 - 8-2020
Research Intern at Microsoft
3-2017 - 7-2017
Intern at ThinkForce
9-2016 - 3-2017
Research Intern at Princeton University

Education

8-2017 - 8-2023
Doctor of Philosophy - PhD from Princeton University
2013 - 2017
Bachelor's degree from Shanghai Jiao Tong University

More Information

Social Presence :

Prographics :

Exp : 4 Location : Sunnyvale, California, United States Job Level : N/A Designation : Applied Scientist at Amazon Web Services (AWS)
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Insights For Selling To Zhenyu

During A Call Or A Meeting

DO's

  • Ask them which other stakeholders would be important for this purchase decision
  • Expect them to be slow and cautious, encourage them to ask more questions
  • First of all, focus on building their confidence by sharing examples, case studies etc.

DONT's

  • Don't rely on relationship building even if they act pleasantly
  • Don't be very accepting if that is your natural style, stay firm
  • Don't push them too hard to make fast decisions, give them time

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Zhenyu is

  • Low-risk, adoption by others are very important to them, followed by confidence in ROI.
  • Will you ever get a clear answer from Zhenyu

  • They don’t say no often, they push out the decisions or keep going around in circles.

Insights For Deal Planning

    How fast (or slow) will Zhenyu move?

  • They do not like to rush and therefore can be quite slow in their decision-making.
  • Can Zhenyu take some risk or not?

  • They have little risk-appetite and prefer to take measured decisions.

You And Zhenyu

Personality Compatibility


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