Evan Chan: Lessons Learned: Porting a Streaming Data Pipeline from Scala to Rust.
Jeremy Smith: Aging: Evolving Software, Tools, and Ourselves.
Anthony Annunziuata: AI, Quantum, & AI + Quantum: What’s Real, What’s Coming, and What’s the Point?
Gonçalo Martins Ribeiro: Unlocking the Power of Data-Centric AI: Mastering Data Preparation for ML
Pathikrit Bhowmick: Full Stack Scala Web Application.
Dipankar Mazumdar: Apache Iceberg: enabling an open lakehouse architecture for large-scale analytics
Annie Talvasto: Kubernetes and MLOps for Scalable and Reproducible Generative AI.
Denis Magda: Too Far Too Furious: Multi-Region Cloud Applications.
Sinan Pehlivanoglu: Oblivious Privacy in a Statically Typed World.
Josh Tobin: Test-driven development for large language model applications.
Kendall Roden: Building scalable distributed systems powered by Dapr OSS.
Zander Matheson: Scaling Embeddings in Real-Time.
Viktor Gamov: Gateway to the Future: A Brief History of Kubernetes Ingress
Fabiana Clemente: Unlocking the Power of Data-Centric AI: Mastering Data Preparation for ML Success.
Danica Fine: Practical Pipelines: A Houseplant Alerting System with ksqlDB.
Jim Dowling: Bridging Python and Lakehouse worlds with Arrow Flight and DuckDB
Louis Brandy:Challenges @ the intersection of ML & real-time data-lessons learned spam fighting @ FB
Ben Church: Creating Context: Loading your life into a vector database.
Beyang Liu: Open Source AI Coding Assistants: The Future of Software Development.
Karthik Ramasamy: Latency goes sub-second in Apache Spark Structured Streaming.