Speaker

Raphael De Lio

Raphael De Lio

Developer Advocate @ Redis

Amsterdam, The Netherlands

Actions

Raphael De Lio is a passionate software engineer who loves to think about solutions and ways to improve anything he touches. With over seven years of experience across multiple roles, industries, and countries, he brings a rich perspective to solving technical challenges and connecting with developer communities.

Born in Brazil, Raphael lived in Portugal for six years before moving to the Netherlands in 2022. His main role was a Software Engineer, with expertise in Java, Kotlin, and scalable systems. He also served as the organizer and host of the Dutch Kotlin User Group, building a community for Kotlin enthusiasts in Amsterdam.

Currently, he serves as a Developer Advocate at Redis, where he combines his love for coding with his enthusiasm for empowering others through education, advocacy, and community engagement.

Area of Expertise

  • Information & Communications Technology

Topics

  • Kotlin
  • java
  • Redis

From Data to Insights: Building a Bluesky Bot powered by AI

A common challenge developers face when working with data streams is collecting and analyzing this data as fast as possible to uncover meaningful insights. It’s a complex problem that requires the right combination of real-time data technologies and AI for instant, intelligent decision-making.

In this talk, I’ll show you how I tackled this by building a Bluesky bot that turns raw data into actionable insights using GenAI. We’ll dive into the process of collecting data, transforming it into streams, and using Redis 8 to power real-time analysis. Along the way, I’ll explore how probabilistic data structures, like Count-Min Sketch and Bloom Filters, help optimize performance and enable scalable analytics without compromising accuracy.

I’ll also demonstrate how Redis 8 supports vector similarity search, making it possible to compare and classify data efficiently—an essential step for enhancing AI-driven insights. You’ll see how this can be applied to find patterns, group similar content, and make smarter recommendations.

Finally, I’ll bring it all together by showing how Redis and GenAI work hand in hand to extract patterns and generate insights, with practical examples implemented in Java.

Whether you’re curious about GenAI, interested in data-driven analytics, or simply love experimenting with creative tech solutions, this session will inspire you with practical techniques and real-world applications.

Devoxx Belgium: https://youtu.be/WXXsS4k2qMI?si=U4gh5HPruFmHHqOV

Spring IO: https://youtu.be/DylvTW_ia4Y?si=Rz-OWsf_6uBYkY18

Beyond Coding Podcast: https://youtu.be/aF7Pcvn0CdI?si=SwomwFaEWrPFVwGP

TedXKE: https://youtu.be/gJKuqonxRJQ?si=91zKMrZ1lqq4ePgf

Raphael De Lio

Developer Advocate @ Redis

Amsterdam, The Netherlands

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top