Simba Khadder
Employers on the program
- 2026Redis2 talks
- 2022–2024Featureform5 talks
- 2020StreamSQL1 talk
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
- MLOps World (Machine Learning in Production)
- Data Council
- Flink Forward
- OpenXData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| May 12, 2026 | AI Council 2026 | Data Council | talk | Context Engineering 2.0: Unifying MCP, Agentic RAG, and Memory GenAI & agents as Redis | |
| Apr 29, 2026 | OpenXData 2026 (April) | OpenXData | speaker | Building a Context Engine: Data Pipelines for Agents as Redis We've built data pipelines for dashboards, analysts, and ML models. Agents are a fundamentally different consumer. RAG handles text retrieval well, but agents…Show lessWe've built data pipelines for dashboards, analysts, and ML models. Agents are a fundamentally different consumer. RAG handles text retrieval well, but agents need relational data, APIs, event streams, and memory. | Video |
| Nov 7, 2024 | 5th Annual MLOps World and Generative AI World Conference 2024 | MLOps World (Machine Learning in Production) | speaker | ML Feature Lakehouse: Empowering Data Scientists to Build Petabyte-Scale Pipelines with Iceberg as Featureform The term “Feature Store” might sound like just a place to store features, but in reality, it’s a powerful system for defining, managing, and deploying…Show lessThe term “Feature Store” might sound like just a place to store features, but in reality, it’s a powerful system for defining, managing, and deploying large-scale data pipelines. This session will simplify feature stores by breaking down the three main types and showing how they fit into an ML ecosystem. | |
| Oct 25, 2023 | 4th Annual MLOps World Conference & Expo 2023 | MLOps World (Machine Learning in Production) | lightning | Feature Store are NOT about Storing Features as Featureform | |
| Oct 25, 2023 | 4th Annual MLOps World Conference & Expo 2023 | MLOps World (Machine Learning in Production) | workshop (virtual) | Feature Stores in Practice: Train and Deploy an End-to-End Fraud Detection Model with Featureform, Redis, and AWS as Featureform | |
| Jun 9, 2022 | 3rd Annual MLOps World 2022 | MLOps World (Machine Learning in Production) | speaker | An Introduction to Featureform, the Virtual Feature Store as Featureform | |
| Jun 9, 2022 | 3rd Annual MLOps World 2022 | MLOps World (Machine Learning in Production) | speaker | The Future of Feature Stores as FeatureForm | |
| Oct 19, 2020 | Flink Forward Global 2020 | Flink Forward | speaker | Feature Stores: Powering Machine Learning Infrastructure with Apache Flink as StreamSQL Input features are the building blocks for machine learning models. You cannot have a great model without great features. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Niels Bantilan | 3 | — | 2024 |
| Chang She | 2 | — | 2026 |
| Charles Frye | 2 | — | 2026 |
| Chris Alexiuk | 2 | — | 2026 |
| Jacopo Tagliabue | 2 | — | 2026 |
| Julien Le Dem | 2 | — | 2026 |
| Marta Paes | 2 | — | 2026 |
| Aniket Maurya | 2 | — | 2024 |
| Eddie Mattia | 2 | — | 2024 |
| Gon Rappaport | 2 | — | 2024 |
| Jaeman An | 2 | — | 2024 |
| Niklas Nielsen | 2 | — | 2024 |
| Norm Zhou | 2 | — | 2024 |
| Qingyun Wu | 2 | — | 2024 |
| Shreya Rajpal | 2 | — | 2024 |
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.