Harsha Battapady
Employers on the program
- 2024–2026Amazon Web Services4 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 | Know your data: discovery, context, and AI agents in Amazon S3 as Amazon Web Services Organizations store billions of objects in Amazon S3 but struggle to answer basic questions: What do I have? Where did it come from? | |
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | chalk talk | Unlock your S3 data for AI agents as Amazon Web Services You’ve built a rich data lake in Amazon S3. Now how do your AI agents actually find and use that data? | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | AI-powered data operations using MCP Servers for Amazon S3 as Amazon Web Services Explore how the Model Context Protocol (MCP) Server transforms how your agents work with Amazon S3 data through AI-assisted operations. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | Deliver performance at scale with Amazon S3 as Amazon Web Services With Amazon S3, your applications can scale to millions of transactions per second (TPS) and achieve terabits per second of throughput. In this chalk talk,…Show lessWith Amazon S3, your applications can scale to millions of transactions per second (TPS) and achieve terabits per second of throughput. In this chalk talk, explore how Amazon S3 delivers predictable, high-throughput, and low-latency object storage for your most performance-critical workloads. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | Powering your data lakes and analytics with Amazon S3Learn how to use Amazon S3 to get more out of your data lake and analytic workloads. Understanding how to use these features optimally can benefit analytics…Show lessLearn how to use Amazon S3 to get more out of your data lake and analytic workloads. Understanding how to use these features optimally can benefit analytics workloads by making them more scalable, resilient, and cost optimized. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Vaibhav Sabharwal | 4 | 1 | 2026 |
| Aaron Chen | 4 | — | 2026 |
| Aaron Sempf | 4 | — | 2026 |
| Abbas Mooraj | 4 | — | 2026 |
| Abhishek Pandey | 4 | — | 2026 |
| Abhishek Sharma | 4 | — | 2026 |
| Abhishek Srivastav | 4 | — | 2026 |
| Adam Hill | 4 | — | 2026 |
| Addy Upreti | 4 | — | 2026 |
| Aditi Garg | 4 | — | 2026 |
| Aditya Challa | 4 | — | 2026 |
| Aditya Samant | 4 | — | 2026 |
| Adnan Bilwani | 4 | — | 2026 |
| Ahuva Hazan-Fuchs | 4 | — | 2026 |
| Alak Eswaradass | 4 | — | 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.