Project

Dashboard Indicator Vision Models

Computer vision tooling to speed up vehicle dashboard approval workflows.

AI Software Engineer

Overview

While working as an AI Software Engineer at Ford, I developed computer vision models to identify dashboard indicators in vehicle imagery. The goal was to accelerate dashboard approval workflows for Product Development by automating detection tasks that were previously manual and time-consuming.

I collaborated with AI/ML teams to optimize workloads on Ford's high-performance computing infrastructure and customized deployment pipelines using tools such as PyTorch, TensorFlow, GCP, and Vertex AI.

Highlights

• Built models to detect dashboard indicators and streamline Product Development approval cycles.
• Maintained familiarity with Ford's global AI/ML compute infrastructure and deployment patterns.
• Collaborated with diverse AI/ML teams to optimize code for Ford compute systems.
• Internal Ford project; models and datasets are not publicly shareable.

Tech stack

PythonPyTorchTensorFlowOpenCVGCPVertex AI