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Alex Lewzey

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talks

ML Engineer

Building a price comparison platform requires solving multiple ML challenges at scale. This talk covers a year-long production project combining LLMs, graph algorithms, and computer vision. We'll explore: Orchestrating complex ML workflows with Vertex AI Pipelines; Using Gemini to classify products, extract attributes, and generating titles/descriptions; Connecting product variants across retailers with graph algorithms; Deduplicating images using computer vision. You'll learn practical lessons from deploying these systems in production, including trade-offs and challenges encountered along the way.

Bio from: PyDataMCR November

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Building a price comparison platform requires solving multiple ML challenges at scale. This talk covers a year-long production project combining LLMs, graph algorithms, and computer vision.

We'll explore:

Orchestrating complex ML workflows with Vertex AI Pipelines Using Gemini to classify products, extract attributes, and generating titles/descriptions Connecting product variants across retailers with graph algorithms Deduplicating images using computer vision

You'll learn practical lessons from deploying these systems in production, including trade-offs and challenges encountered along the way