Sumaja Kapa
Employers on the program
- 2024–2026Amazon 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 |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | workshop | Build a fully managed data lake with Amazon S3 Tables as Amazon Data lakes have evolved from raw Parquet files with Hive-style partitioning to fully managed Apache Iceberg tables. In this hands-on workshop, you'll understand…Show lessData lakes have evolved from raw Parquet files with Hive-style partitioning to fully managed Apache Iceberg tables. In this hands-on workshop, you'll understand that evolution, then build a working analytics data lake with Amazon S3 Tables in under two hours. | |
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | builders session | Gaining insights with S3 Metadata and annotations as Amazon Learn how S3 annotations let you attach rich, structured context (JSON, XML, YAML, or plain text) directly to your objects without re-uploading them. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | Build fast, scalable infrastructure for AI/ML with AWS storage [REPEAT] as Amazon High-performance storage is essential for efficient and cost-effective machine learning (ML) and large language model (LLM) training for generative AI. This…Show lessHigh-performance storage is essential for efficient and cost-effective machine learning (ML) and large language model (LLM) training for generative AI. This workshop focuses on optimizing storage solutions for intensive GPU and AWS Trainium workloads. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Build fast, scalable infrastructure for AI/ML with AWS storage as Amazon High-performance storage is essential for efficient and cost-effective machine learning (ML) and large language model (LLM) training for generative AI. Managing…Show lessHigh-performance storage is essential for efficient and cost-effective machine learning (ML) and large language model (LLM) training for generative AI. Managing intensive GPUs and accelerators like AWS Trainium requires optimized storage solutions. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ed Gummett | 3 | 2 | 2026 |
| Bimal Gajjar | 3 | 1 | 2026 |
| Lee Kear | 3 | 1 | 2026 |
| Ran Pergamin | 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 |
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.