Justin Long
Principal at Waterbear Energy
Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolJustin Long is a principal technologist based in Vancouver with over a decade of experience building AI, distributed computing, and data center solutions, and a particular focus on bringing renewable energy into technical strategy and product work. He blends hands-on engineering—spanning machine learning, full‑stack development, and architectural solutions—with sales and product leadership honed at companies from startups (Bernie A.I., Skymind) to enterprise (Intel). At Waterbear Energy he applies this hybrid skill set to energy development, leveraging a Stanford certificate in Energy Innovation to bridge technical feasibility and commercial outcomes. An avid tinkerer, his hobbyist projects in rocketry and home automation inform practical, systems-level thinking; he’s also implemented interesting ML features in open-source work such as Tinderbox (facial recognition and sentiment analysis). Known for navigating both developer trenches and client-facing technical sales, he excels at turning emerging technologies into deployable products and business value.
12 years of coding experience
8 years of employment as a software developer
Bachelors, Business, Resource Management & Health, Bachelors, Business, Resource Management & Health at Simon Fraser UniversityHonours Secondary Diploma, Honours Secondary Diploma at Galena High SchoolSales Operations & Metrics, Sales Operations & Metrics at Stanford Continuing StudiesCertificate, Energy Innovation and Emerging Technologies, Certificate, Energy Innovation and Emerging Technologies at Stanford University
Github Skills (15)
javascript10
api10
apidoc10
facial-recognition10
knockoutjs9
front-end-development9
knockout9
back-end-development9
sentiment-analysis9
nodejs8
expressjs8
ui-design7
mongodb7
mongodb-database7
automated-tests6
Programming languages (15)
Github contributions (5)
crockpotveggies/tinderbox
Dec 2014 - Aug 2015
Automate Tinder swiping and introductions with Eigenfaces and StanfordNLP. NOTE: support for this project has been sunset, and the original author has since directed efforts towards Bernie AI.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:86 commits, 14 PRs, 53 pushes in 8 months
Contributions summary:Justin primarily contributed to the development and maintenance of the Tinderbox application, which automates Tinder interactions. They worked on both the front-end and back-end, adding features like a dashboard, authentication schemes, and inbox functionality. The user implemented new API endpoints for Tinder, which involved modifying models and integrating new functionality such as report and unmatch features. The user also integrated facial recognition and sentiment analysis into the application.
aistanford-nlp
Kashoo/classic-square-service
Sep 2020 - Jul 2021
Microservice for managing Square integrations for classic users.
Contributions:29 reviews, 3 PRs, 21 pushes in 9 months
squareintegrationsmicroservicemicroservices
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