Han (Paris) Zhang

Questioner
DISC Type : c

Applied Research Engineer at NVIDIA

Stanford, California, United States

Overview

Han (Paris) Zhang is an Applied Research Engineer at NVIDIA, specializing in Vision-Language Models and Spatial AI. A graduate of Stanford (M. S. in Computer Science) and UC Berkeley (B. A. in CS & Econ), his applied research on 3D spatial reasoning has been showcased at NVIDIAs GTC conference.

He was honored as a Siebel Scholar at Stanford and received the prestigious EECS Department Citation from UC Berkeley.

Personality Overview

Value Seeker

Price-Sensitive

Cautious & Analytical

They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.  While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters. It is quite likely of them to ask for pricing or other concessions.

Topics They Care About

Vision-Language Models
His role at NVIDIA focuses on VLM and Reasoning, and he developed and released models like Commercial VILA. He also lists VLM as a primary research interest.
Spatial AI
Led the development of a 3D-VLM for spatial reasoning that was showcased at NVIDIA's GTC 2025, demonstrating its real-world application.
Applied AI Research
His work involves turning research into impactful applications, including filing two patent applications for VLM data autolabeling pipelines during his internship.

Media Appearances

Han has no verified media appearances

Work History

5-2025
Applied Research Engineer at NVIDIA
6-2024 - 9-2024
Applied Research Intern at NVIDIA
4-2024 - 5-2025
Research Assistant at Stanford Artificial Intelligence Laboratory (SAIL)
9-2023 - 12-2024
Course Assistant at Stanford University School of Engineering
6-2023 - 3-2024
Research Intern at Tencent

Education

2023 - 2025
Master of Science - MS from Stanford University
2019 - 2023
Bachelor of Arts - BA from University of California, Berkeley

More Information

Social Presence :

Prographics :

Exp : 2 Location : Stanford, California, United States Job Level : Junior Designation : Applied Research Engineer at NVIDIA
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Insights For Selling To Han (Paris)

During A Call Or A Meeting

DO's

  • Share as much information as possible regarding your product
  • Tell them that you will come back if you don’t have a good answer for a question
  • Keep some extra margin in hand as they will likely negotiate the pricing

DONT's

  • Don’t depend too much on anecdotal evidence, it reduces their confidence
  • Don’t try to be too friendly or informal with them
  • Don’t overhype the product/pitch, keep it measured

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Han (Paris) is

  • Ensuring that the product delivers ROI, cost-effective pricing and process compliance are very important for them.
  • Will you ever get a clear answer from Han (Paris)

  • 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 Han (Paris) move?

  • If they have the information that they need, they can move fast at making their decisions.
  • Can Han (Paris) take some risk or not?

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


You And Han (Paris)

Personality Compatibility


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