Cheng-Ping Hsieh

Energizer
DISC Type : I

NeMo (LLM Long Context) - Applied Research Scientist at NVIDIA

United States

Overview

Cheng-Ping Hsieh is an Applied Research Scientist at NVIDIA on the NeMo team, specializing in long-context large language models. A graduate of UC San Diego and National Taiwan University, his expertise spans natural language processing, speech synthesis, and MLOps, with previous experience at Amazon and LINE.

He co-authored "YourTTS, " an influential research paper on zero-shot multi-speaker Text-to-Speech, showcasing his impact on advanced speech synthesis.

Personality Overview

Big Picture Person

Full Of Energy

Relationship Oriented

They are always positive and upbeat, so take their promises with a pinch of salt.  Unlike C or D types, they are vocal with their opinions but not so much with their questions. They are really good at seeing what the long-term impacts of their decisions could be.

Topics They Care About

Speech Synthesis
Developed a multi-speaker Text-to-Speech (TTS) framework for NVIDIA's NeMo and co-authored research papers on zero-shot TTS and speaker adaptation.
Large Language Models
His current role at NVIDIA involves research and application of LLMs, specifically focusing on extending their context length within the NeMo framework.
Efficient AI Models
Researched parameter-efficient fine-tuning for TTS and worked on accelerating deep neural network inference on CPUs using compilers and quantization at Amazon.

Media Appearances

Cheng-Ping has no verified media appearances

Work History

2-2023
NeMo (LLM Long Context) - Applied Research Scientist at NVIDIA
9-2021 - 12-2022
Graduate Student Researcher at UC San Diego
6-2022 - 9-2022
NeMo (TTS) - Applied Research Scientist at NVIDIA
5-2021 - 8-2021
D2AS - Applied Scientist Intern at Amazon
9-2020 - 5-2021
Machine Learning Engineer at LINE Taiwan Limited

Education

9-2021 - 12-2022
Master of Science - MS from UC San Diego
2015 - 2019
Bachelor of Science in Electrical Engineering from National Taiwan University

More Information

Social Presence :

Prographics :

Exp : 4 Location : United States Job Level : N/A Designation : NeMo (LLM Long Context) - Applied Research Scientist at NVIDIA
URL has been copied!

Insights For Selling To Cheng-Ping

During A Call Or A Meeting

DO's

  • Use adjectives like ‘amazing’, ‘coolest’, ‘unbelievable’ etc.
  • Use phrases like ‘people will love’, ‘massive impact’ etc.
  • Invite them for a lunch or a drink/coffee

DONT's

  • Avoid overloading them with too much detail
  • Don’t be too formal, focus on building comfort and trust
  • Don’t be excessively objective, be a storyteller

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Cheng-Ping is

  • Relationship and rapport can play an important role, sometimes more than the other factors.
  • Will you ever get a clear answer from Cheng-Ping

  • They will probably never say no directly, you have to make that decision yourself.

Insights For Deal Planning

    How fast (or slow) will Cheng-Ping move?

  • They are not the quickest decision makers, their friendly attitude could be misleading.
  • Can Cheng-Ping take some risk or not?

  • They can accept limited risks, ones that they think will not impact them personally.

You And Cheng-Ping

Personality Compatibility


Other NVIDIA Employees

Explore more public profiles from related professionals at the same organization.

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.