Luke Scales

Co-Founder at Arbia (Techstars '25)

Vancouver, British Columbia, Canada
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Summary

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Senior
🎓
Top School
Luke Scales is a founder and full-stack software engineer with 8 years of experience building ML-enabled products and startups, currently co-founding Arbia to cut procurement time and reduce food waste across agri-food supply chains. He blends hands-on engineering—from React/TypeScript front ends to Python backends and demand-forecasting ML models—with product and go-to-market instincts honed as an early engineer at fast-growing startups and a serial founder. At Nory he led demand forecasting, auto-scheduling and computer vision efforts, and at Pointy contributed to ML, APIs and even hardware support before its acquisition. Comfortable shifting between backend-heavy roles and UX-focused front-end work, he’s equally at home shipping production ML pipelines or polishing user interfaces. Based in Vancouver with an MSc in AI Computing, he pairs pragmatic engineering with a knack for operational automation—often building systems that let suppliers “run on autopilot.” An advocate for good UX, he quietly balances broad technical curiosity with a track record of turning research-grade models into revenue-driving product features.
code8 years of coding experience
job10 years of employment as a software developer
bookLeaving Certificate 440 points, Leaving Certificate 440 points at The King's Hospital School, Palmerstown, Dublin 20.
bookMaster of Science - MS Computing (Artificial Intelligence), Master of Science - MS Computing (Artificial Intelligence) at Dublin City University
languagesEnglish, French
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51reputation
983reached
5answers
0questions
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Github Skills (37)

r9
forecasting-models9
forecasts9
forecasting9
kitchen9
classification-model9
forecast9
diet9
python8
classifier8
in-progress8
chrome-extension7
mobilenet7
bluetooth7
classification7

Programming languages (3)

JavaScriptHTMLPython

Github contributions (5)

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LukeScales1/wikipedia-search

Nov 2022 - Mar 2024

Full-stack app that fetches some Wikipedia articles at random, indexes them (in local memory), and serves endpoints for searching the index using a BM25 ranking algorithm. Originally an eng challenge I was asked to spend 3hrs on, w/o a DB of any form, I have since added persistence by Dockerizing the app with a Postgres instance. Front-end WIP.
Contributions:12 PRs, 57 pushes, 15 branches in 1 year 4 months
bm25fastapiinformation-retreivalpydanticreact
LukeScales1/FYP

Oct 2017 - May 2019

Contributions:23 commits in 1 year 7 months
mobilenetclassifiedclassifierkitcheneng
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