Shannon Pace
Engineer - Data Applications
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolShannon Pace is a data applications engineer in Melbourne with a decade of experience building production-grade machine learning and text analytics systems, particularly in NLP for speech and transcript analysis. Currently at Xero, she combines hands-on engineering with team leadership, sprint planning, and cross-stakeholder communication to move models from prototype to reliable production. Her background includes leading the development of a transcription-based call-centre product at daisee, designing annotation and diarisation processes, and automating script-adherence assessment using configurable, embedding-driven features. Earlier research and advisory roles at Deakin and NICTA produced chatbots, scalable model-training pipelines and geospatial tracking systems, and she has a track record of turning data-science prototypes into audited, scalable architectures. With a PhD-level research foundation and fluency across Python, Haskell and distributed systems, she brings a rare blend of academic rigour and pragmatic product delivery.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Artificial Intelligence, Doctor of Philosophy (PhD), Computer Science, Artificial Intelligence at Swinburne University of Technology
English
Github Skills (4)
controller5
api4
golang2
nomad1
Programming languages (1)
Github contributions (5)
futufeld/avoidance-benchmarks
Dec 2015 - Feb 2018
Contributions:1 release, 22 pushes, 3 branches in 2 years 2 months
futufeld/steering-fields
Jan 2016 - May 2016
Contributions:1 release, 13 commits, 7 pushes in 3 months
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