Nitin Eusebius
Employers on the program
- 2022–2025Amazon Web Services3 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | Seamless and scalable creative and product visual generation as Amazon Web Services Amazon Nova Canvas and Nova Reel offer powerful image and video generation capabilities for enterprises needing scalable, personalized content while maintaining…Show lessAmazon Nova Canvas and Nova Reel offer powerful image and video generation capabilities for enterprises needing scalable, personalized content while maintaining brand consistency. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | builders session | Deploy LLMs at the edge with AWS IoT [REPEAT] as Amazon Web Services In this builders’ session, learn how to deploy offline LLMs and a web portal as AWS IoT Greengrass components. Discover how to synchronize contextual data from…Show lessIn this builders’ session, learn how to deploy offline LLMs and a web portal as AWS IoT Greengrass components. Discover how to synchronize contextual data from private sources or Amazon S3 to build local knowledge bases. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | Optimize logistics tracking with AWS IoT and Amazon Location ServiceModern logistics workflow includes tracking of resources and physical assets. Businesses need straightforward, affordable solutions to manage inventories,…Show lessModern logistics workflow includes tracking of resources and physical assets. Businesses need straightforward, affordable solutions to manage inventories, monitor assets in real time, and take appropriate actions on anomalies—all under a single pane of glass view. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Managing connected vehicle data with AWS IoT and ML as Amazon Web Services Modern, connected vehicles produce vast amounts of data during their lifecycles. The expanse of data necessitates effective data ingestion, storage, management,…Show lessModern, connected vehicles produce vast amounts of data during their lifecycles. The expanse of data necessitates effective data ingestion, storage, management, and utilization for use cases such as machine learning and analytics. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Sempf | 4 | — | 2025 |
| Abbas Mooraj | 4 | — | 2025 |
| Abhishek Srivastav | 4 | — | 2025 |
| Adam Hill | 4 | — | 2025 |
| Aditya Samant | 4 | — | 2025 |
| Adnan Bilwani | 4 | — | 2025 |
| Ahuva Hazan-Fuchs | 4 | — | 2025 |
| Alan Halachmi | 4 | — | 2025 |
| Alex DeBrie | 4 | — | 2025 |
| Alexander Dragunov | 4 | — | 2025 |
| Alexandra Huides | 4 | — | 2025 |
| Alexis Marcou | 4 | — | 2025 |
| Ali Alemi | 4 | — | 2025 |
| Ali Saidi | 4 | — | 2025 |
| Alicia Morrison | 4 | — | 2025 |
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.