Knowlege Graphs & Context Engineering

​5 × 5 min live demos. No slides.

​Doors open at 6:30.
Demos run 7:00–7:45.
Dinner and open networking after.

The Presenters

​Ravi Ranjan · Senior Manager, Data Science @ Publicis Sapient
Building GraphOS — an enterprise context graph and memory OS powering an agentic AI platform in production.

​Joseph Thomas Thachil · Knowledge Graph & AI Architect
Fintreflect KG: the largest open-source corpus of financial SEC 10-K triplets, with self-evolving agents, contextual retrieval guards, and hybrid KG + vector search for compliance intelligence.

​Yash Kumar · AI Engineer @ PayNearby
Context engineering is a data engineering problem. A live demo of a voice AI multi-agent system on Google ADK serving 5,000+ users — with real token and cost numbers showing why scoped retrieval beats a bigger model.

​Shuchismita · AI Consultant & Architect @ Inflera AI · Founder, Abhigya AI Lab
A tenant-versioned knowledge graph as the semantic backbone for a FinOps agentic mesh — four specialised agents collaborating via shared ontology to answer "why did our Azure spend spike and what do we do?"

​Rox · Engineering Team
Two and a half years building a warehouse-native revenue knowledge graph. What we've learned, what broke, and where context engineering goes next.

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A ritual gathering for engineers who are actually building in this space. The conversations that matter happen after the demos.

​What happens in this room stays in this room.