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I Build Large-Scale
Machine Learning Systems
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Brands I’ve Worked With

Funder USA

AWS Sagemaker
Pipelines Expertise

AWS Architecture Expertise
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Experience Building Machine Learning Pipelines containing an ensemble of 9 Pytorch models producing 63 million predictions every day.

Over $30 Million is generated by these pipelines every year.

Amazon Sage Marker
AWS Step Functions
Amazon EventBridge
AWS CloudFormation

20+ training videos

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Over 500 Machine Learning Engineers and Data Scientists have viewed my internal training videos on how to build Sagemaker Pipelines in Vanguard.

Personal work


1. Engineering Blog

I've had many collegues and friends ask how to get started in AI/ML.

       I have put together a blog for starting out. I enjoy being able to help mentor others through their AI software engineering journey.

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See What Others
Have to Say

“Greg, thank you, not only for the model pipelines you have built, but also for going above and beyond to create the training material. Thank you for always sparking new discussions to improve the processes in the team .”
Ken Reeser
ML Tech Lead - Vanguard
“You have been a fantastic team member Greg keep doing what you're doing. It is my pleasure to recognize you, as you have done many things in the team that everybody is super proud of.”
Karun Appapogu
AI Strategy and Architecture @ Vanguard
“Love this sagemaker video training series! Thanks”
Shivendra Pandey
Principal MLE @ Vanguard
"Greg produces excellent work. He is very focused and delivers on time."
Peter Stridth
CEO @ Funders USA
"Overall Performance Feedback: Exceeds Expectations. Additionally, Greg is flexible to changing priorities and is always a pleasure to work with on the team."
Ken Reeser
ML Tech Lead - Vanguard
"Greg has very strong communication skills. He leads projects independently and takes full ownership of all the stages of project delivery."
Saurabh Sapra
US Regional Account Manager - Tiger Analytics
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