Saurav Mohanty
Employers on the program
- 2024–2026Amazon Web Services3 talks
Upcoming appearances
Who’s booked ahead? →Event dates shown; only events starting today or later count. 1 upcoming event.
-
AWS re:Invent 2026 – · Las Vegas, United States
- Hugging Face on AWS: AI Model Deployment at Scale chalk talk Program source ↗
- Connect agents across frameworks live using the A2A open protocol code talk Program source ↗
No upcoming appearances are currently recorded.
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 | code talk | Connect agents across frameworks live using the A2A open protocol as Amazon Agents built on different frameworks need to talk to each other. In this session we will build two agents on Strands and LangGraph, then wire them together…Show lessAgents built on different frameworks need to talk to each other. In this session we will build two agents on Strands and LangGraph, then wire them together using the A2A protocol hosted at the Linux Foundation. | |
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | chalk talk | Hugging Face on AWS: AI Model Deployment at Scale as Amazon AWS and Hugging Face collaborate on open source Deep Learning Containers, optimized inference frameworks, and Neuron integrations that make deploying community…Show lessAWS and Hugging Face collaborate on open source Deep Learning Containers, optimized inference frameworks, and Neuron integrations that make deploying community models production-ready. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Multimodal semantic search for generative AI applications [REPEAT] as Amazon In this workshop, acquire the skills to ingest information from a wide range of data sources, such as videos, PDFs, and images, into a unified knowledge…Show lessIn this workshop, acquire the skills to ingest information from a wide range of data sources, such as videos, PDFs, and images, into a unified knowledge repository for generative AI use cases. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Chen | 2 | — | 2026 |
| Aaron Sempf | 2 | — | 2026 |
| Aarthi Raju | 2 | — | 2026 |
| Abbas Mooraj | 2 | — | 2026 |
| Abhijeet Jangam | 2 | — | 2026 |
| Abhinav Sarin | 2 | — | 2026 |
| Abhisheikh Lahoti | 2 | — | 2026 |
| Abhishek Maligehalli Shivalingaiah | 2 | — | 2026 |
| Abhishek Nautiyal | 2 | — | 2026 |
| Abhishek Pandey | 2 | — | 2026 |
| Abhishek Sharma | 2 | — | 2026 |
| Abhishek Srivastav | 2 | — | 2026 |
| Abilashkumar P C | 2 | — | 2026 |
| Achraf Souk | 2 | — | 2026 |
| Adam Hill | 2 | — | 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.