Varma Gottumukkala
Employers on the program
- 2024–2026Amazon Web Services5 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | builders session | Build a knowledge graph-based agent guardrail with Amazon Neptune as Amazon Web Services AI agents assert relationships such as compatible products, cleared counterparties, or approved suppliers, derived from LLM reasoning rather than verified data.…Show lessAI agents assert relationships such as compatible products, cleared counterparties, or approved suppliers, derived from LLM reasoning rather than verified data. When these assertions are wrong, downstream business decisions fail. | |
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | builders session | Build explainable AI agent observability with DynamoDB and Neptune as Amazon Web Services Unintended agent actions and incorrect outputs are difficult to investigate without a structured provenance layer. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Use Amazon DynamoDB to enhance agentic AI workflows as Amazon Web Services Managing multiple AI agents in production can lead to data inconsistencies, security vulnerabilities, and system failures. Join us in this hands-on session…Show lessManaging multiple AI agents in production can lead to data inconsistencies, security vulnerabilities, and system failures. Join us in this hands-on session where you will build an agent governance framework using Amazon DynamoDB. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Vibe data modeling with Amazon DynamoDB [REPEAT] as Amazon Web Services In this session master practical Amazon DynamoDB data modeling through an innovative "vibe modeling" approach using Model Context Protocol (MCP). Learn to…Show lessIn this session master practical Amazon DynamoDB data modeling through an innovative "vibe modeling" approach using Model Context Protocol (MCP). Learn to architect complex data models that use sophisticated techniques right inside an AI-powered IDE. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | builders session | Use GraphRAG with Amazon Neptune to improve generative AI applications [REPEAT] as AWS Retrieval Augmented Generation (RAG) applications use the power of generative AI to analyze private, differentiating datasets. However, baseline RAG can…Show lessRetrieval Augmented Generation (RAG) applications use the power of generative AI to analyze private, differentiating datasets. However, baseline RAG can sometimes produce poor responses that lack explainability and contextual awareness and include conflated sources and spurious claims. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Melissa Kwok | 3 | 2 | 2026 |
| Robert McCauley | 3 | 2 | 2026 |
| Taylor Riggan | 3 | 2 | 2026 |
| Arjan Schaaf | 3 | 1 | 2026 |
| David H Gardner Jr | 3 | 1 | 2026 |
| Aaron Chen | 3 | — | 2026 |
| Aaron Sempf | 3 | — | 2026 |
| Aarthi Raju | 3 | — | 2026 |
| Abbas Mooraj | 3 | — | 2026 |
| Abhijeet Jangam | 3 | — | 2026 |
| Abhishek Pandey | 3 | — | 2026 |
| Abhishek Sharma | 3 | — | 2026 |
| Abhishek Srivastav | 3 | — | 2026 |
| Abilashkumar P C | 3 | — | 2026 |
| Adam Hill | 3 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.