Data Systems for AI: Daft x Confluent x Alluxio x DET
Join us for an evening of technical talks on data systems and ML infrastructure, featuring speakers from Daft, Confluent, Alluxio, and DET (Data Engineer Things).
Featured Speakers
Confluent - Viktor Gamov, Principal Developer Advocate
The IDE That Speaks Kafka: Mastering Streams in VS Code
Apache Kafka has become an essential technology for modern data streaming applications. However, its learning curve can be steep for developers. This presentation will help you overcome the everyday challenges of Kafka development and streamline your development experience using the Confluent VS Code Extension. Through a practical, live demonstration, we'll showcase how the extension simplifies everything from environment setup to schema management.
DET - Denisse Damian, Software Engineer specializing in Machine Learning Infrastructure
Shipping ML Faster: How We Built a Model CI/CD Pipeline with GitHub Actions
Machine learning models often get stuck between development and production due to manual steps and brittle deployment processes. In this talk, Denisse shares how her team designed and implemented an end-to-end CI/CD pipeline using GitHub Actions, AWS ECS, and Postman to cut model deployment time drastically.
About Denisse: She has managed hundreds of ML models in production at Zest AI and previously led large-scale automation projects at fast-growing startups. Denisse also writes a 10K-subscriber tech newsletter.
Daft - Speaker and topic to be announced
Alluxio - Speaker and topic to be announced
Schedule
5:30 PM - Doors open & networking
6:00 PM - Opening remarks & talks
7:30 PM - Networking continues until 8:30 PM
Venue & Logistics
There is a free parking lot behind the building and plenty of street parking in the area. Once you arrive at the building, please check in with the front desk and they will send you up the elevator to Floor 11.
Huge thanks to Confluent for sponsoring this event.