Aniruddha Deodhar
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 | chalk talk | Deploy, tune, and scale AI workloads on AWS with self-managed agents as AWS Setting up AI infrastructure, deploying AI workloads, evaluating and tuning performance, and scaling up are tasks that require deep domain knowledge and…Show lessSetting up AI infrastructure, deploying AI workloads, evaluating and tuning performance, and scaling up are tasks that require deep domain knowledge and substantial time investment. In this chalk talk, learn how to simplify these tasks by using self-managed agents on AWS. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | How customers build AI at scale with AWS AI infrastructure as AWS Join industry leaders as they share their experiences scaling AI initiatives using AWS AI infrastructures. AWS customers will present their journeys…Show lessJoin industry leaders as they share their experiences scaling AI initiatives using AWS AI infrastructures. AWS customers will present their journeys demonstrating how they optimized their AI workloads across training and inference for maximum performance and cost efficiency. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | Build and accelerate LLMs on AWS Trainium and AWS Inferentia using Ray [REPEAT] as AWS Learn how to accelerate the development and deployment of large language models (LLMs) with Ray, AWS Trainium, and AWS Inferentia. This chalk talk delves into…Show lessLearn how to accelerate the development and deployment of large language models (LLMs) with Ray, AWS Trainium, and AWS Inferentia. This chalk talk delves into how Ray’s unified compute framework seamlessly integrates with powerful AWS AI chips to optimize performance and cost efficiency. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alex Iankoulski | 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 |
| Adam Richter | 3 | — | 2026 |
| Addy Upreti | 3 | — | 2026 |
| Aditi Garg | 3 | — | 2026 |
| Aditya Challa | 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.