Parth Chadha

Observer
DISC Type : ci

Senior Deep Learning Algorithms Engineer at NVIDIA

San Francisco Bay Area, United States

Overview

Parth is a Senior Deep Learning Algorithms Engineer at NVIDIA, specializing in reinforcement learning and large language models. He leads the development of Nemo-RL, a scalable post-training library, and previously worked on the TensorRT inference library. He holds a Masters from Carnegie Mellon University, focusing on machine learning and systems design.

Outside of his core work with large-scale models, Parth has a demonstrated passion for applying his skills to create impactful solutions. His past work includes developing deep learning algorithms for novel hardware and contributing to significant projects in assistive technology, showing a clear interest in technology that solves real-world challenges.

He once collaborated with IIT Delhi on a low-cost Refreshable Braille Display, a project aimed at impacting over 15 million visually impaired people.

Personality Overview

Example Seeker

Value Driven

Curious

They ask a lot of questions and rely heavily on information and collaterals.  They can sound friendly and charming but can quickly change gears to become inquisitive and probing. They are generally good communicators and can be hard to convince.

Topics They Care About

Reinforcement Learning
He is a core contributor and leads the development of NVIDIA's Nemo-RL, a library focused on reinforcement learning for large models.
Deep Learning Systems
His work on the TensorRT inference library and stated interest in system design highlight his focus on the practical application of large-scale ML systems.
Assistive Technology
He worked on a low-cost Refreshable Braille Display for the visually impaired community in collaboration with the Indian Institute of Technology Delhi.

Media Appearances

Author: Parth Chadha | NVIDIA Technical Blog. Featured in NVIDIA Developer Blog

See Now

Work History

2-2018
Senior Deep Learning Algorithms Engineer at NVIDIA
2017 - 2-2018
Software Engineer (Machine Learning) at The Markov Corporation
5-2014 - 7-2015
Software Engineer at KritiKal Solutions
5-2012 - 8-2013
Research Intern at mLabs Research, Inc

Education

2015 - 6-2017
Master of Science (M.S.) from Carnegie Mellon University
2010 - 2014
Electrical and Electronics Engineering from Delhi College of Engineering

More Information

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Exp : 11 Location : San Francisco Bay Area, United States Job Level : Middle Designation : Senior Deep Learning Algorithms Engineer at NVIDIA
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Insights For Selling To Parth

During A Call Or A Meeting

DO's

  • Build rapport, it will come handy to handle hard questions later
  • Be prepared for a lot of questions, answer them objectively
  • Ask them questions to understand their needs better while staying affable

DONT's

  • Don’t be too objective but make sure to pad your storytelling with data points
  • Avoid making offhand commitments
  • Don’t brush off any concerns, take all questions seriously

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Parth is

  • Proven value, strong testimonials are important for them, rapport can impact decisions a little.
  • Will you ever get a clear answer from Parth

  • They are practical and friendly, don't expect a clear-cut response often.

Insights For Deal Planning

    How fast (or slow) will Parth move?

  • They like to perform full analysis and can take time to make any decision.
  • Can Parth take some risk or not?

  • They weigh all decisions systematically and are unlikely to take many risks.

You And Parth

Personality Compatibility


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