Kyle Steckler

Questioner
DISC Type : c

Senior Machine Learning Solutions Engineer, Google Cloud at Google

New York, New York, United States

Overview

Kyle Steckler is a Senior Machine Learning Solutions Engineer at Google Clouds Advanced Solutions Lab, where he leads customer engagements in AI strategy and execution. His expertise spans MLOps and developing machine learning solutions, backed by Professional Machine Learning Engineer and Data Engineer certifications.

His background in astrophysics research and experience teaching physics at the University of Hawaii highlight a deep passion for science and education. This unique perspective informs his approach to upskilling enterprise engineering teams on complex AI concepts and applications.

During a research fellowship at the University of Michigan, he discovered a new Minor Planet using clustering algorithms.

Personality Overview

Value Seeker

Systematic

Not Easily Convinced

They prefer to do thorough analysis of any situation.  They are more likely than others to negotiate on pricing and terms. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.

Topics They Care About

Generative AI Applications
He frequently posts about leveraging LLMs like PaLM 2 and Gemini, and building systems with private knowledge bases using tools like Langchain.
Production ML & MLOps
Emphasizes the importance of the end-to-end process in production ML, a key focus of his ML Engineering Certification and recent talks.
Scalable Deployments
Shows a keen interest in solving the "last mile" problem of deployment, specifically mentioning Cloud Run for its ease of use and scalability.

Media Appearances

Kyle has no verified media appearances

Work History

11-2022
Senior Machine Learning Solutions Engineer, Google Cloud at Google
12-2021 - 11-2022
Machine Learning Solutions Engineer, Google Cloud at Google
7-2019 - 12-2021
Data and Machine Learning Instructor at Google
6-2018 - 8-2018
Research Fellow at University of Michigan
1-2018 - 5-2018
Learning Assistant at University of Hawaii at Hilo

Education

2016 - 2019
Bachelor of Art (BA) from University of Hawai‘i System
2016 - 2019
Bachelor of Science - BS from University of Hawaii at Hilo

More Information

Social Presence :

Prographics :

Exp : 7 Location : New York, New York, United States Job Level : Middle Designation : Senior Machine Learning Solutions Engineer, Google Cloud at Google
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Insights For Selling To Kyle

During A Call Or A Meeting

DO's

  • Back up any claims with data and numbers
  • If you have a lower priced product compared to the competition, call out the same
  • Emphasise more on facts and measurable benefits

DONT's

  • Don’t depend too much on anecdotal evidence, it reduces their confidence
  • Avoid rushing them, be polite and patient
  • Avoid phrases like ‘do not worry about’, ‘no one compares to’ etc.

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Kyle is

  • Confidence that the product provides ROI, effective pricing and process adherence matter the most to them.

  • Will you ever get a clear answer from Kyle

  • It doesn’t come naturally to them but they can say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Kyle move?

  • They can move at a reasonable pace while making their decisions if they have the necessary information.

  • Can Kyle take some risk or not?

  • They can take some risk if they are confident that they have analyzed the circumstances well.


You And Kyle

Personality Compatibility


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