Prakash Murugesan

Critic
DISC Type : C

Machine Learning Engineer at Meta

San Francisco Bay Area, United States

Overview

Prakash is a self-taught Machine Learning Engineer at Meta, where he is the Tech Lead for Post-Training on Meta AI for Ray-Ban Smart Glasses. His expertise lies in multimodal reasoning, recommender systems, and graph learning, and he holds a B. A. Sc with Honours from the University of Toronto.

Outside of his core work in AI, Prakash has a demonstrated interest in hardware innovation and user-centric problem-solving. He has a personal connection to global markets, particularly India and the UAE, which he considers places he calls home, celebrating product launches in these regions.

Unique fact: Prakash holds two patents for e-bike technology, including a system that automatically adjusts e-assist to prevent the rider from perspiring.

Personality Overview

Information Seeker

Precise

Negotiator

It is very likely that they will negotiate pricing or other important terms.  They like to take decisions independently and do not seek others' support often. Unless the value is proven by data, they are unlikely to value fancy features.

Topics They Care About

Multimodal AI
Currently leads post-training for Meta's Multimodal AI on wearable devices like the Ray-Ban smart glasses, focusing on reasoning and multilingual expansion.
Reinforcement Learning
He has authored detailed posts explaining the principles of policy gradients, including algorithms like PPO and GRPO which are central to his work.
Wearable Technology
His current role is centered on shipping AI models for wearable devices, and he expresses excitement about the 'startup soul' within Meta's Reality Labs.

Media Appearances

Prakash has no verified media appearances

Work History

4-2022
Machine Learning Engineer at Meta
11-2020 - 4-2022
Senior Machine Learning Engineer at EY
5-2019 - 11-2020
Machine Learning Engineer at EY
10-2018 - 5-2019
Machine Learning Engineer at Canvass AI
6-2018 - 11-2018
Machine Learning Engineer at Lake Finance

Education

B.A.Sc with Honours from University of Toronto

More Information

Social Presence :

Prographics :

Exp : 7 Location : San Francisco Bay Area, United States Job Level : Middle Designation : Machine Learning Engineer at Meta
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Insights For Selling To Prakash

During A Call Or A Meeting

DO's

  • Don’t forget to mention how you compare to competition on both features and pricing
  • Be ready for penetrating questions and critical examination of your pitch
  • Be formal and objective, they will appreciate it more

DONT's

  • Don't give superficial answers, they are easily rattled by them
  • Don’t try to give too many examples of other users, they like to make their own decisions
  • Don’t rush them till they have clearly gotten all the necessary information

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Prakash is

  • Proof of ROI, low pricing and objective proof points are the important factors for them.
  • Will you ever get a clear answer from Prakash

  • They do not mind saying no if they believe that it is the right decision.

Insights For Deal Planning

    How fast (or slow) will Prakash move?

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

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

You And Prakash

Personality Compatibility


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