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Derek Graeber
Machine Learning and Analytics at Amazon Web Services
Derek Graeber
Derek Graeber is a Senior ML and Analytics Engineer - Customer Engineering at Amazon Web Services (AWS) based in Philadelphia, PA.345 He has over 500 connections on LinkedIn.3
Derek previously worked as a Senior Engineer focusing on Analytics and AI/ML workloads at AWS.12 As an engineer and architect, he focused on designing, developing and deploying solutions for customers.12
Some of Derek's key contributions at AWS include:
- Developing a reference architecture for advanced driver-assistance systems (ADAS) data lake1
- Creating a blog series with GitHub repositories covering automated scene detection pipelines, running workloads on Amazon Managed Workflow for Apache Airflow (MWAA), automated image processing and model training pipelines, and visualization of ROS Bag Data1
- Industrializing the Autonomous Driving Data Framework (ADDF) solution which offers pre-built sample data, centralized data storage, data processing pipelines, visualization mechanisms, search interface, simulation workload, analytics interfaces, and prebuilt dashboards1
- Describing how to run Nvidia's Eureka on AWS and use Amazon Bedrock for Large Language Models (LLMs) to help robotics customers scale simulation/training processes, visualize robot simulation/training, and generate reward functions2
Derek received his education from the Georgia Institute of Technology.3 He is active on LinkedIn, having made a post about the SeedFarmer Workshop - Getting Started in January 2024.6
Highlights
Jul 23 · aws.amazon.com
How to expansively train Robot Learning by Customers on AWS ...
Jun 24 · aws.amazon.com
Develop and deploy a customized workflow using Autonomous ...