Antony Prasad Thevaraj
Employers on the program
- 2021–2025Amazon Web Services4 talks
Appearances by year
- AWS re:Invent
- Teradata Possible
- Trino Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 6, 2025 | Possible 2025 | Teradata Possible | speaker | Untitled as AWS | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | lightning talk | Power Amazon Bedrock applications with Neo4j knowledge graph (sponsored by Neo4j)Combining generative AI with knowledge graphs enhances language understanding and generates more contextually accurate responses. This enriches information…Show lessCombining generative AI with knowledge graphs enhances language understanding and generates more contextually accurate responses. This enriches information retrieval and context-based reasoning, and improves the overall user experience. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | Simplifying modern data pipelines with zero-ETL architectures on AWS The advent of zero ETL on AWS is driving a paradigm shift in the composition of modern AWS analytics stacks. | Video |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | workshop | Building your own Apache Kafka connectors as AWS Apache Kafka is one of the best ways to replicate data over disparate systems. A common architecture design consists of pushing data from relational databases…Show lessApache Kafka is one of the best ways to replicate data over disparate systems. A common architecture design consists of pushing data from relational databases to purpose-built ones using change data capture (CDC), Kafka Connect, and Kafka. | Slides |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | lightning talk | Graph feature engineering with Neo4j and Amazon SageMaker (sponsored by Neo4j) as AWS Featurization is one of the most difficult problems in machine learning, just behind data wrangling in terms of the time it consumes. For many problems,…Show lessFeaturization is one of the most difficult problems in machine learning, just behind data wrangling in terms of the time it consumes. For many problems, featurization plays the largest role in determining model performance, greater even than choice of machine learning method. | SlidesVideo |
| Oct 21, 2021 | Trino Summit 2021 | Trino Summit | speaker | The Power of Trino on AWS as Amazon |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ben Lackey | 2 | 2 | 2023 |
| Florian Mair | 2 | 1 | 2023 |
| Sudhir Gupta | 2 | 1 | 2023 |
| Russell Scibetti | 2 | — | 2025 |
| Aaron Khoo | 2 | — | 2023 |
| Aaron Sempf | 2 | — | 2023 |
| Aaron Sengstacken | 2 | — | 2023 |
| Abbas Mooraj | 2 | — | 2023 |
| Abhay Saxena | 2 | — | 2023 |
| Abhinav Jawadekar | 2 | — | 2023 |
| Abhisheikh Lahoti | 2 | — | 2023 |
| Abhishek Srivastav | 2 | — | 2023 |
| Adam Hesch | 2 | — | 2023 |
| Adam Hill | 2 | — | 2023 |
| Adam Keller | 2 | — | 2023 |
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.