Peter Belcak

Inquirer
DISC Type : cd

Research Scientist at NVIDIA

Mountain View, California, United States

Overview

Peter Belcak is an AI Research Scientist at NVIDIA, focusing on reliable and efficient AI systems, particularly agentic AI and eliminating LLM hallucinations. He holds a PhD from ETH Zürich and has previously worked with Meta and the University of Oxford, consistently focusing on model efficiency and deep learning.

Personality Overview

Demanding

Judgemental

ROI Conscious

They focus on objectivity in a pitch and pay little attention to bells and whistles.  They can be nudged to make faster decisions by offering what they value. They respond well to confident salespeople.

Topics They Care About

Agentic AI Systems
His current research at NVIDIA is dedicated to the reliability and efficiency of agentic systems, and he is actively hiring PhD interns to work on this topic.
Small Language Models
He is a vocal proponent for using smaller, specialized models in agentic systems, authoring a recent NVIDIA position paper on why SLMs are the future of agentic AI.
AI Hallucination
His role at NVIDIA explicitly includes a focus on "hallucination elimination (grounding), " indicating a core interest in improving the reliability and truthfulness of AI models.

Media Appearances

Peter has no verified media appearances

Work History

4-2024
Research Scientist at NVIDIA
12-2023 - 3-2024
Research Intern at Meta
9-2021 - 11-2023
Research Assistant at ETH Zurich
7-2020 - 9-2020
Research Intern at Oxford-Man Institute of Quantitative Finance, University of Oxford
10-2019 - 6-2020
Associate Member at Oxford-Man Institute of Quantitative Finance, University of Oxford

Education

MMath from University of Oxford
Doctor of Philosophy - PhD from ETH Zürich

More Information

Social Presence :

Prographics :

Exp : 4 Location : Mountain View, California, United States Job Level : N/A Designation : Research Scientist at NVIDIA
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Insights For Selling To Peter

During A Call Or A Meeting

DO's

  • Make sure that you you respond to any queries from them quickly
  • Highlight the competitive differentiation of your product
  • Be crisp while making the pitch

DONT's

  • Refrain from asking too many questions
  • Avoid repeating yourself or making generalizations
  • Do not give up if they are not convinced, try again with a different approach

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Peter is

  • Belief in the product plays an important role, followed by objective proof and testimonials.
  • Will you ever get a clear answer from Peter

  • They may hesitate slightly, but if they are not convinced, they will say no.

Insights For Deal Planning

    How fast (or slow) will Peter move?

  • They are neither the fastest decision makers nor the slowest.
  • Can Peter take some risk or not?

  • They can take risks only after they have analyzed the advantages and disadvantages.

You And Peter

Personality Compatibility


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