Paulo Pontes Vieira de Aragao
Employers on the program
- 2025–2026Amazon 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
- Train and deploy large-scale models with governance at every step chalk 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 | chalk talk | Train and deploy large-scale models with governance at every step as Amazon Web Services Training a large-scale model is the easy part. Getting it into production with the right data flowing in, governance enforced, and multiple deployment paths…Show lessTraining a large-scale model is the easy part. Getting it into production with the right data flowing in, governance enforced, and multiple deployment paths ready is where most teams stall. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | Accelerate AI workloads with UltraServers on Amazon SageMaker HyperPod as Amazon Web Services Amazon SageMaker HyperPod streamlines compute and workload scheduling and management, allowing you to have access to compute resources faster and optimize spend…Show lessAmazon SageMaker HyperPod streamlines compute and workload scheduling and management, allowing you to have access to compute resources faster and optimize spend more intelligently. | Video |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | Distributed training at scale with Slurm on Amazon SageMaker HyperPod as Amazon Web Services Amazon SageMaker HyperPod offers advanced training tools to accelerate scalable, reliable, and secure AI model development. In this hands-on session, learn how…Show lessAmazon SageMaker HyperPod offers advanced training tools to accelerate scalable, reliable, and secure AI model development. In this hands-on session, learn how to orchestrate distributed training using a Slurm-based cluster. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Amin Dashti | 2 | 1 | 2026 |
| Rekha Seshadrinathan | 2 | 1 | 2026 |
| Roy Allela | 2 | 1 | 2026 |
| Aakash Deshpande | 2 | — | 2026 |
| Aaron Chen | 2 | — | 2026 |
| Aaron Sempf | 2 | — | 2026 |
| Aarthi Raju | 2 | — | 2026 |
| Aarthi Srinivasan | 2 | — | 2026 |
| Abbas Mooraj | 2 | — | 2026 |
| Abdilmajide Ali | 2 | — | 2026 |
| Abdu Mahmoudi | 2 | — | 2026 |
| Abeetha Bala | 2 | — | 2026 |
| Abhijeet Jangam | 2 | — | 2026 |
| Abhishek Jawali | 2 | — | 2026 |
| Abhishek Nanda | 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.