Kaskada is a next-generation streaming engine that connects AI models to real-time and historical data, completing the Real-Time AI stack. It offers real-time aggregation, event detection, and history replay, allowing users to precompute model inputs from streaming data and trigger proactive AI behaviors. Built for scale and reliability, Kaskada is implemented in Rust using Apache Arrow, enabling efficient execution of large historic and high-throughput streaming queries. Its cloud-native design supports partitioned execution, making it suitable for growing needs. Kaskada integrates seamlessly with Python's AI/ML ecosystem, allowing users to load, process, train, and serve models in one place.

Seattle, WA, USA

University of Washington, Seattle, WA, USA

Kaskada

Matt Wallaert

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Please note that I give priority to underrepresented candidates. While I encourage everyone to let me know what they are looking for, the dominant use of both my time and social capital is creating a more equitable workplace and that applies here as well.