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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

awesome icon awesome

šŸ˜Ž Awesome lists about all kinds of interesting topics

beanti.me icon beanti.me

Tanda Hackathon Project 2018: Bringing employees together through coffee

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Writing/ideas that are more than just notes

dabblenews icon dabblenews

Personalised newsletter emailer from dabble.com

darts icon darts

A python library for user-friendly forecasting and anomaly detection on time series.

engg4801 icon engg4801

ENGG4801 Thesis: Bayesian Deep Learning on Longitudinal Medical Data for Cancer Prognosis

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