Anamika Kesharwani
Employers on the program
- 2022–2025Amazon Web Services6 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 |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Applied data modeling with Amazon DynamoDB [REPEAT] as Amazon Web Services In this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover how to translate business…Show lessIn this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover how to translate business requirements into access patterns and access patterns into a fully optimized schema design. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | Perform vector search on your Amazon DynamoDB data using zero-ETL as Amazon Web Services In this workshop, learn how to set up Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service to add generative AI experiences to your…Show lessIn this workshop, learn how to set up Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service to add generative AI experiences to your DynamoDB-based applications. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Use Amazon DynamoDB to enhance agentic AI workflows as Amazon Web Services Managing multiple AI agents in production can lead to data inconsistencies, security vulnerabilities, and system failures. Join us in this hands-on session…Show lessManaging multiple AI agents in production can lead to data inconsistencies, security vulnerabilities, and system failures. Join us in this hands-on session where you will build an agent governance framework using Amazon DynamoDB. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | builders session | Applied data modeling with Amazon DynamoDB [REPEAT] as Amazon Web Services In this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover how to translate business…Show lessIn this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover how to translate business requirements into access patterns and access patterns into a fully optimized schema design. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Perform vector search on your Amazon DynamoDB data using zero-ETL as Amazon Web Services In this workshop, learn how to set up Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service to add generative AI experiences to your…Show lessIn this workshop, learn how to set up Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service to add generative AI experiences to your DynamoDB-based applications. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | Build and deploy a globally distributed app with Amazon DynamoDB [REPEAT]In this builders’ session, learn how to build and deploy a globally distributed application where end users interact with data located closest to them. Amazon…Show lessIn this builders’ session, learn how to build and deploy a globally distributed application where end users interact with data located closest to them. Amazon DynamoDB global tables replicate any changes made in one of the AWS Regions to the other participating AWS Regions. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Build ultra-fast microservices apps with Amazon MemoryDB for Redis as AWS Learn how to simplify, cost optimize, and modernize your application architectures using Amazon MemoryDB for Redis, a durable, in-memory database service.…Show lessLearn how to simplify, cost optimize, and modernize your application architectures using Amazon MemoryDB for Redis, a durable, in-memory database service. MemoryDB makes it easy to create applications that require ultra-fast performance and data durability, avoiding the need to manage a cache along with a durable database. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Robert McCauley | 4 | 4 | 2025 |
| Jason Hunter | 4 | 3 | 2025 |
| 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 |
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.