Praveen Koorse
Employers on the program
- 2024–2026Amazon Web Services4 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
- Building Serverless distributed data processing workloads builders session 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 | builders session | Building Serverless distributed data processing workloads as Amazon Web Services Processing large-scale data shouldn't require provisioning clusters or managing batch infrastructure. In this builders' session, design and deploy a distributed…Show lessProcessing large-scale data shouldn't require provisioning clusters or managing batch infrastructure. In this builders' session, design and deploy a distributed data processing pipeline using AWS Step Functions Distributed Map, AWS Lambda, and Amazon S3. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Build GenAI-Powered Workflows with Step Functions and AWS AI Services [REPEAT] as Amazon Web Services Join this hands-on builders session to discover how to orchestrate sophisticated AI/ML workflows by combining the power of AWS Step Functions with cutting-edge…Show lessJoin this hands-on builders session to discover how to orchestrate sophisticated AI/ML workflows by combining the power of AWS Step Functions with cutting-edge AI services. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | Building Serverless distributed data processing workloads as Amazon Web Services Enterprises today face an ever-increasing need to process large-scale data to meet their business goals and unlock new value. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Building serverless distributed data processing workloads as Amazon Web Services Enterprises today face an ever-increasing need to process large-scale data to meet their business goals and unlock new value. Distributed data processing offers…Show lessEnterprises today face an ever-increasing need to process large-scale data to meet their business goals and unlock new value. Distributed data processing offers a cost-efficient way to speed up processing, but it also presents challenges for developers in managing the parallelism within serverful environments. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Parnab Basak | 3 | 1 | 2026 |
| Rahul Pisal | 3 | 1 | 2026 |
| Aaron Chen | 3 | — | 2026 |
| Aaron Sempf | 3 | — | 2026 |
| Aarthi Raju | 3 | — | 2026 |
| Abbas Mooraj | 3 | — | 2026 |
| Abhijeet Jangam | 3 | — | 2026 |
| Abhishek Pandey | 3 | — | 2026 |
| Abhishek Sharma | 3 | — | 2026 |
| Abhishek Srivastav | 3 | — | 2026 |
| Abilashkumar P C | 3 | — | 2026 |
| Adam Hill | 3 | — | 2026 |
| Adam Richter | 3 | — | 2026 |
| Addy Upreti | 3 | — | 2026 |
| Aditi Garg | 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.