From Notebook to Production: Building End-to-End AI Systems
In this episode, we talk with Mariano Semelman about what it takes to build end-to-end AI solutions in production, especially in messy, high-scale e-commerce environments where a good model alone is not enough.
Mariano is a Lead Data Scientist and Machine Learning Engineer with more than 10 years of experience in e-commerce. At OLX, he works on media solutions for sellers, including systems that turn a user’s product video into a structured marketplace ad by automatically selecting images and extracting relevant details.
We’ll discuss:
Why data scientists should learn to operate their own models
How tools like Claude Code and Cursor can help bridge the gap between research and production
What it takes to build video-to-ad systems that are reliable and scalable
How to think about extensibility, monitoring, and maintainability in AI products
When to prioritize customer impact first and pay down tech debt later
About the Speaker:
Mariano Semelman is a Lead Data Scientist and Machine Learning Engineer with over 10 years of experience in e-commerce. He focuses on building end-to-end solutions and explores how agentic tools can make the path from research to production more seamless. At OLX, he works on AI-powered media solutions that simplify the listing process for sellers.
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