Yogesh Sharma

Critic
DISC Type : C

Head of Engineering at DigitalOcean

Denver Metropolitan Area, United States

Overview

Yogesh is the Head of Engineering at DigitalOcean, leading applied ML initiatives for the companys Generative AI platform. His expertise lies in building large-scale AI ecosystems and optimizing deep learning frameworks like PyTorch and TensorFlow, honed during his tenure at AWS. He holds a Bachelor of Engineering from Vishwakarma Institute Of Technology.

Colleagues describe Yogesh as a detail-oriented, dedicated, and excellent manager. He is known for his thoroughness and a "can-do" attitude, consistently finding thoughtful solutions to complex problems and successfully delivering on challenging projects.

He was a featured speaker at Ray Summit 2025, where he shared his story of building a large-scale, multimodal AI inference stack from the ground up.

Personality Overview

Critic

Information Seeker

Negotiator

It is very likely that they will negotiate pricing or other important terms.  Unless the value is proven by data, they are unlikely to value fancy features. They enjoy working alone and do not rely on others very often.

Topics They Care About

Multimodal AI
His current work involves scaling the Gradient AI inference cloud, with a stated focus on multimodal models as the next frontier in AI development.
AI Inference Stacks
He has spoken publicly at events like Ray Summit about building large-scale AI inference stacks from the ground up using tools like Ray and vLLM.
Deep Learning Frameworks
Previously led engineering for AWS Deep Learning, where he was responsible for optimizing major frameworks such as PyTorch, TensorFlow, and JAX for performance and security.

Media Appearances

Yogesh has no verified media appearances

Work History

4-2025
Head of Engineering at DigitalOcean
7-2021 - 3-2025
Engineering Manager (AI/ML - AWS Deep Learning) at Amazon Web Services (AWS)
1-2021 - 7-2021
Senior Principal Software Engineer at Oracle
10-2016 - 12-2020
Principal Software Engineer at Oracle
11-2015 - 9-2016
Lead Software Engineer at UnitedHealth Group

Education

2001 - 2006
Bachelor of Engineering (B.E.) from Vishwakarma Institute Of Technology
1999 - 2001
Higher Secondary Certificate from M.J. College, Jalgaon

More Information

Social Presence :

Prographics :

Exp : 11 Location : Denver Metropolitan Area, United States Job Level : Mid-senior Designation : Head of Engineering at DigitalOcean
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Insights For Selling To Yogesh

During A Call Or A Meeting

DO's

  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories
  • Be formal and objective, they will appreciate it more
  • Don’t forget to mention how you compare to competition on both features and pricing

DONT's

  • Avoid phrases like ‘trust me’, ‘others just love’ etc.
  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Don’t try to give too many examples of other users, they like to make their own decisions

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Yogesh is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Yogesh

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Yogesh move?

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

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

You And Yogesh

Personality Compatibility


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