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

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 Engagement4:16 Career Journey: From Argentina to Barcelona7:16 Product-Driven AI vs. Traditional Reporting9:41 AI Media Solutions for E-Commerce Sellers10:55 Video-to-Ad: The Future of Marketplaces13:45 Automated Content Creation for Sellers17:10 Defining End-to-End Ownership in Data Science21:12 The Longevity of the CRISP-DM Framework25:33 Impact of Agentic Coding and GitHub Copilot31:42 Why LLMs Aren't Always the Best Solution37:39 Translating Business Needs to ML Requirements41:18 Managing Explicit and Implicit Feedback Loops48:26 Architecture Deep Dive: Image Description Logic55:28 The Declining Role of Notebooks in Production1:02:53 The Modern Tech Stack: Fast API, UV, and Arize

Connect with Mariano:

Linkedin - https://www.linkedin.com/in/msemelman/

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