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Hi there šŸ‘‹

Now

Iā€™m working in engineering at Spice ai, we're building spice, a unified SQL query interface to locally accelerate and query data tables sourced from any database, data warehouse, or data lake. Built with Rust and modern data tooling: Apache Flight, Apache Datafusion, DuckDB and more!

I also focus on the AI building blocks & infrastructure for the Spice platform. Think: training pipelines, inference (server & on the edge), understanding the industry & technical SOTA time-series ML, and designing an intuitive & powerful developer experience.

Past

  • I led & built the managed cloud service for Marqo.ai, from onboarding our very first customer to our first public, enterprise customer.

  • 18 months at Amazon working on groceries (think Whole Foods and Amazon Fresh), improving recommendations and the customer impact of when groceries are out of stock.

  • ~ 3 years working at MaxwellPlus, where we did some awesome work (see [1] & [2]). I spent my time across AI research, ML + data engineering and infrastructure + devops.

  • I studied both mathematics (mainly pure) + software engineering at UQ. I wish I did even more math.

Jack Eadie's Projects

til icon til

Trying to learn, and write, at least one thing each day

touc icon touc

Seemless clickstream events plugin

turbo-robot icon turbo-robot

Using decision tree classifiers for automated code generation and other readable formats

warthog icon warthog

Software I built whilst reading "Designing Data-Intensive Applications"

webdataset icon webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

wise-ft icon wise-ft

Robust fine-tuning of zero-shot models

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