Kyle Steckler in

Kyle Steckler

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Senior Machine Learning Solutions Engineer, Google Cloud at Google
📍 New York, New York, United States

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.

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Experience
7 Years
Current Role
Senior Machine Learning Solutions Engineer, Google Cloud
Job Level
Middle
Location
New York, New York, United States
Personality Overview

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Decision Approach
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Priorities

Topics Kyle cares 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.
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Career

Work history

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

Media appearances

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Education
2016 - 2019
Bachelor of Art (BA)
University of Hawai‘i System
2016 - 2019
Bachelor of Science - BS
University of Hawaii at Hilo
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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