Zhenlin Xu

Critic
DISC Type : C

Machine Learning Scientist at Boson AI

Sunnyvale, California, United States

Overview

Zhenlin Xu is a Machine Learning Scientist at Boson AI, specializing in LLMs, reasoning, and multimodal models. His expertise includes LLM alignment, synthetic data generation, and training agentic models. A graduate of The University of North Carolina at Chapel Hill, his career includes roles at Amazon, Google, and NVIDIA.

He was a key contributor to "The Common Pile v0. 1, " a massive one trillion token dataset of public domain text created for pre-training Large Language Models.

Personality Overview

Objective Thinker

Information Seeker

Critic

Unless the value is proven by data, they are unlikely to value fancy features.  They like to do things independently and don’t look for support from others. It is very likely that they will negotiate pricing or other important terms.

Topics They Care About

LLM Alignment
His current work at Boson AI focuses on LLM alignment and building agentic models, a core part of his professional expertise.
Large-Scale Datasets
He recently promoted his team's release of "Common Pile v0. 1", a one trillion token dataset, showing his focus on large-scale data for AI training.
Computer Vision
His Ph. D. research and previous role as an Applied Scientist at Amazon focused on vision and language models for visual recognition tasks.

Media Appearances

Zhenlin has no verified media appearances

Work History

Machine Learning Scientist at Boson AI
Applied Scientist at Amazon
5-2021 - 12-2021
Research Intern / Student Researcher at Google
5-2020 - 8-2020
Research Intern at NVIDIA
8-2017 - 5-2020
Graduate Research Assistant at University of North Carolina at Chapel Hill

Education

2016 - 2022
Doctor of Philosophy (Ph.D.) from The University of North Carolina at Chapel Hill
2014 - 2016
Master of Science (M.S.) from Rochester Institute of Technology

More Information

Social Presence :

Prographics :

Exp : 3 Location : Sunnyvale, California, United States Job Level : N/A Designation : Machine Learning Scientist at Boson AI
URL has been copied!

Insights For Selling To Zhenlin

During A Call Or A Meeting

DO's

  • Tell them what ROI they can expect
  • Be formal and objective, they will appreciate it more
  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories

DONT's

  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Do not use very emotional or colorful language
  • Avoid phrases like ‘trust me’, ‘others just love’ etc.

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Zhenlin is

  • Proven ROI, pricing and objective proof points are the factors that sway their decision.
  • Will you ever get a clear answer from Zhenlin

  • They are comfortable saying no if they are convinced that it is the correct decision.

Insights For Deal Planning

    How fast (or slow) will Zhenlin move?

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

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

You And Zhenlin

Personality Compatibility


More Profiles

Discover additional public profiles from our index.

Search more profiles

Looking for someone else? Search here for anyone.

Or visit Humantic AI to know more.