Leo Simberg
Employers on the program
- 2022–2026Amazon 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 | workshop | Build a cost-optimized multi-agent system on Amazon EC2 CPUs and GPU as Amazon Web Services - AWS In this hands-on workshop, you build a production-ready multi-agent system that splits workloads between CPU and GPU EC2 instances — the best of both worlds.…Show lessIn this hands-on workshop, you build a production-ready multi-agent system that splits workloads between CPU and GPU EC2 instances — the best of both worlds. Starting with an autonomous customer-support pipeline, you deploy reasoning agents on GPU and orchestration, tool-calling, and retrieval agents on CPUs. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | builders session | Automate LoRaWAN device setup with AWS IoT Core and gen AI [REPEAT] as Amazon Web Services - AWS In this builders’ session, learn the essential steps to integrate a LoRaWAN gateway with AWS IoT Core for LoRaWAN. Learn how to onboard your first LoRaWAN…Show lessIn this builders’ session, learn the essential steps to integrate a LoRaWAN gateway with AWS IoT Core for LoRaWAN. Learn how to onboard your first LoRaWAN device effectively and set up an AWS Lambda function to decode the payload. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Deploying neural networks at scale on AWS as AWS In this chalk talk, learn how you can build an MLOps platform for multimodal data and neural networks using the AWS Cloud. Multimodal data is the power behind…Show lessIn this chalk talk, learn how you can build an MLOps platform for multimodal data and neural networks using the AWS Cloud. Multimodal data is the power behind different media types, incompatible formats, and unstructured data types. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Sempf | 3 | — | 2026 |
| Aarthi Raju | 3 | — | 2026 |
| Abbas Mooraj | 3 | — | 2026 |
| Abhinav Sarin | 3 | — | 2026 |
| Abhisheikh Lahoti | 3 | — | 2026 |
| Abhishek Nautiyal | 3 | — | 2026 |
| Abhishek Srivastav | 3 | — | 2026 |
| Adam Hill | 3 | — | 2026 |
| Adam Palmer | 3 | — | 2026 |
| Aditya Samant | 3 | — | 2026 |
| Adnan Bilwani | 3 | — | 2026 |
| Ahuva Hazan-Fuchs | 3 | — | 2026 |
| Alexander Dragunov | 3 | — | 2026 |
| Ali Alemi | 3 | — | 2026 |
| Ali Saidi | 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.