Dhawal Patel
Employers on the program
- 2022–2025Amazon Web Services4 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 | chalk talk | Inside a multi-tenant architecture built with Amazon Bedrock AgentCore [REPEAT] as Amazon Web Services The introduction of Amazon Bedrock AgentCore provides builders with a range of new tools and constructs that can be used to design, secure, scale, and implement…Show lessThe introduction of Amazon Bedrock AgentCore provides builders with a range of new tools and constructs that can be used to design, secure, scale, and implement a multi-tenant agent. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | Scale agent tools with Amazon Bedrock AgentCore Gateway as Amazon Web Services Unlock AI agent potential with this advanced session on scaling tools using Amazon Bedrock AgentCore Gateway. Learn to build and manage secure, production-ready…Show lessUnlock AI agent potential with this advanced session on scaling tools using Amazon Bedrock AgentCore Gateway. Learn to build and manage secure, production-ready agent tool environments. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | Unlock the power of multimodal vision models with Amazon Bedrock as Amazon Web Services Step into the future of generative AI with multimodal vision models in Amazon Bedrock. In this chalk talk, unlock the power of generative AI models that…Show lessStep into the future of generative AI with multimodal vision models in Amazon Bedrock. In this chalk talk, unlock the power of generative AI models that seamlessly blend image and text data. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | Scaling FM inference to hundreds of models with Amazon SageMakerCompanies need robust and cost-effective solutions to deploy foundation models (FMs) at scale. Additionally, SaaS providers need scalable and cost-effective…Show lessCompanies need robust and cost-effective solutions to deploy foundation models (FMs) at scale. Additionally, SaaS providers need scalable and cost-effective ways to serve hundreds of models to their customers. | Video |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Train and deploy large language models on Amazon SageMaker as AWS Join this chalk talk to dive deep into training and hosting large language models for high accuracy and low cost using Hugging Face Transformers on Amazon…Show lessJoin this chalk talk to dive deep into training and hosting large language models for high accuracy and low cost using Hugging Face Transformers on Amazon SageMaker. Also, hear how Mantium achieved high-throughput training and low-latency inference for large transformer models using SageMaker distributed training libraries and DeepSpeed on SageMaker. | 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.