Amogh Param

Critic
DISC Type : C

Staff Software Engineer, Machine Learning at Meta

Seattle, Washington, United States

Overview

Amogh is a Staff Software Engineer at Meta, specializing in machine learning with a focus on large-scale training and deployment of multi-modal models for smart glasses. His expertise, backed by a Masters from UCLA, spans distributed training, data pipelines, and privacy-preserving ads experimentation. He previously led ML platform teams at Zillow.

Outside of his core work, Amogh has a keen interest in bridging the gap between cutting-edge AI research and real-world production applications. He has a passion for building robust, scalable ML platforms that accelerate experimentation and deployment, a skill he honed while managing engineering teams at Zillow.

He has a notable background in high-performance computing, having worked on the parallelization of optical flow estimation on NVIDIA GPUs during his time at UCLAs Vision Lab.

Personality Overview

Critic

Precise

ROI Driven

They like to do things independently and don’t look for support from others.  They are quite likely to negotiate on pricing or other key terms. They choose to analyze logically and value facts to emotions.

Topics They Care About

Multimodal AI
His current role at Meta involves working on large-scale training and deployment of multi-modal models, particularly for smart glasses and video understanding.
ML Platforms
Managed and led a team at Zillow dedicated to building a company-wide machine learning platform to enable scalable and rapid ad-hoc experimentation.
Ads Experimentation
Spent over two years at Meta focusing on privacy-preserving ads experimentation, indicating deep knowledge in this specialized and critical area of digital advertising.

Media Appearances

Amogh has no verified media appearances

Work History

2-2022
Staff Software Engineer, Machine Learning at Meta
6-2019 - 2-2022
Engineering Manager, Machine Learning at Zillow
2-2019 - 6-2019
Senior Software Engineer, Machine Learning at Zillow
2-2018 - 1-2019
Software Engineer, Machine Learning - III at Zillow
4-2016 - 6-2016
Graduate Student Researcher at UCLA Vision Lab

Education

2014 - 2016
Master of Science (M.S.) from UCLA
2009 - 2013
Bachelor of Engineering (B.E.) from B. M. S. College of Engineering

More Information

Social Presence :

Prographics :

Exp : 9 Location : Seattle, Washington, United States Job Level : Middle Designation : Staff Software Engineer, Machine Learning at Meta
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Insights For Selling To Amogh

During A Call Or A Meeting

DO's

  • Use phrases like ‘expect X% improvement’, ‘data clearly shows’ etc.
  • Be ready for penetrating questions and critical examination of your pitch
  • Tell them what ROI they can expect

DONT's

  • Don’t try to give too many examples of other users, they like to make their own decisions
  • Avoid phrases like ‘trust me’, ‘others just love’ etc.
  • 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 Amogh is

  • Proven ROI, pricing and objective proof points are the factors that sway their decision.
  • Will you ever get a clear answer from Amogh

  • They are comfortable saying no if they are convinced that it is the correct decision.

Insights For Deal Planning

    How fast (or slow) will Amogh move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Amogh take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Amogh

Personality Compatibility


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