From Notebook to Production: Building End-to-End AI Systems - Mariano Semelman

About this episode

Mariano Semelman discusses the transition from traditional e-commerce to Generative AI and the process of building AI products for production.

In this talk, Mariano, Lead Data Scientist and ML Engineer at OLX, shares his journey building high-impact AI media solutions. We explore the transition from traditional e-commerce models to Generative AI and Agentic tools, focusing on how to take AI products from a notebook to full-scale production.You’ll learn about: How to master the full product cycle from requirement gathering to deployment. Using video-to-ad technology to automate car listings and seller experiences. Essential modern tools like FastAPI, Arize, and why UV is a game-changer. When to use LLMs versus specialized vision models like CLIP and YOLO. Why production pipelines are moving from Jupyter notebooks to CLI tools. How agentic coding and AI assistants are 10x-ing development speed. TIMECODES: 0:00 Community Introduction and Slack Engagement 4:16 Career Journey: From Argentina to Barcelona 7:16 Product-Driven AI vs. Traditional Reporting 9:41 AI Media Solutions for E-Commerce Sellers 10:55 Video-to-Ad: The Future of Marketplaces 13:45 Automated Content Creation for Sellers 17:10 Defining End-to-End Ownership in Data Science 21:12 The Longevity of the CRISP-DM Framework 25:33 Impact of Agentic Coding and GitHub…

People in this episode

Guest: Mariano Semelman

Topics covered

• AI systems
• Generative AI
• e-commerce
• production pipelines
• agentic coding
• video-to-ad technology

Keywords

• AI media solutions
• end-to-end ownership
• automated content creation
• development speed
• machine learning requirements

Mentioned in this episode

Organizations: OLX

Products: FastAPI, Arize, CLIP, YOLO

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