AutoMeta AI: Intelligent Metadata Extraction & Schema Intelligence

Hosted by: Mochitha Vijayan, Siddhant Pandey & Suman Acharya

Bootcamp Exclusive

Sun, 03 May 2026
11:00 AM - 12:30 PM IST

Online (Zoom)

Hosted by

Mochitha Vijayan

Siddhant Pandey

AI Research Engineer @Codebasics

Suman Acharya

AI Engineer @Fractal

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While most AI demos look impressive at first glance, the real challenge begins when you try to deploy them on actual enterprise data.

That is usually when things start breaking.

From hallucinated datatypes to completely skipped columns, today’s LLM applications struggle when exposed to messy, real-world data workflows. This is especially true in data engineering, where missing a primary key or failing to detect sensitive PII can break downstream systems and violate compliance.

Join this Live Problem Solving Session to see how a production-grade multi-agent platform is engineered for the messy reality of enterprise data onboarding.

What You’ll Learn

🔹 Optimize LLM context windows for raw, unstructured data

🔹 Design deterministic self-correction loops to reduce AI omissions

🔹 Build a multi-agent validation layer to separate generation from auditing

🔹 Add automated governance and compliance gating (like PII detection)

🔹 Build data systems that are auditable and production-ready

Pre-Requisites

📌 Understanding of LLMs

📌 Familiarity with workflows or data pipelines

📌 Curiosity to learn how real-world enterprise AI systems are built