Shivagami Gugan
Employers on the program
- 2024–2026Amazon Web Services3 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 | breakout | How Emirates built Multicloud Agents with open-source Agentic AI Gateway as Amazon Web Services Enterprises running AI agents across multiple clouds face fragmented model access, inconsistent pricing, and vendor lock-in. Open-source Gateways provide a…Show lessEnterprises running AI agents across multiple clouds face fragmented model access, inconsistent pricing, and vendor lock-in. Open-source Gateways provide a unified interface to orchestrate Models across Amazon Bedrock, Azure OpenAI, and Google Vertex AI based on use-case requirements and token economics. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | A deep dive into AI/ML development in SageMaker Unified Studio [REPEAT] as Amazon Web Services ML teams often struggle with fragmented tools and disconnected solutions that slow down AI development. SageMaker Unified Studio offers a single environment for…Show lessML teams often struggle with fragmented tools and disconnected solutions that slow down AI development. SageMaker Unified Studio offers a single environment for data processing, integration, and analysis alongside trusted tools for AI/ML development. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | Cost optimization for data analytics on AWS [REPEAT] as Amazon Web Services Learn strategies for optimizing total cost of ownership (TCO) for AWS analytics workloads. This session covers rightsizing compute resources, data storage…Show lessLearn strategies for optimizing total cost of ownership (TCO) for AWS analytics workloads. This session covers rightsizing compute resources, data storage optimization techniques, intelligent workload scheduling, serverless analytics, and cost monitoring tools. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| 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 |
| Adam Richter | 3 | — | 2026 |
| Addy Upreti | 3 | — | 2026 |
| Aditi Garg | 3 | — | 2026 |
| Aditya Challa | 3 | — | 2026 |
| Aditya Lolla | 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.