Kyle Steckler
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolKyle Steckler is a machine learning and cloud infrastructure leader with seven years of experience building production ML workflows and teaching enterprises how to operationalize AI. At Google Cloud he has been a senior ML solutions engineer and lead instructor on the Advanced Solutions Lab, delivering complex MLOps and explainable AI projects across AMER, EMEA, and APAC. He pairs hands-on engineering—contributing to explainable image-model deployments on Vertex AI—with curriculum design for courses like MLOps Fundamentals and Advanced Machine Learning on GCP. A former researcher in astronomy and physics, Kyle brings scientific rigor to model development and data pipelines, including a published minor-planet discovery and CNN work that informed Keck telescope observations. Based in New York, he blends technical leadership, customer-facing delivery, and a researcher’s curiosity to turn complex ML concepts into repeatable enterprise solutions.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Astronomy and Astrophysics, Bachelor of Science - BS Astronomy and Astrophysics at University of Hawaii at HiloBachelor of Art (BA) Physics, Bachelor of Art (BA) Physics at University of Hawai‘i System
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
vertex-ai10
machine-learning10
google-cloud-platform10
explainable-artificial-intelligence10
tensorflow10
jupyter-notebook9
computer-vision8
Programming languages (2)
Github contributions (5)
GoogleCloudPlatform/asl-ml-immersion
Mar 2022 - Jan 2023
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
Role in this project:
ML Engineer
ML EngineerContributions:80 reviews, 49 commits, 47 PRs in 10 months
Contributions summary:Kyle's commits primarily address precommit fixes within the repository. The code differences reveal changes to a Jupyter Notebook (`xai_image_vertex.ipynb`), indicating work related to AI explanations and the deployment of an explainable image model on Vertex AI. This suggests the user is involved in the implementation and refinement of machine-learning workflows on Google Cloud Platform.
pythondata-sciencegoogle-cloud-platformimmersionmachine-learning
kylesteckler/gcp
Aug 2022 - Jul 2024
Contributions:15 pushes, 1 branch in 1 year 11 months
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