Cameron Waeland
Senior Staff Software Engineer at Compass
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolCameron Waeland is a Senior Staff Software Engineer with over a decade of experience building scalable web platforms, APIs, and data-driven dashboards from concept to commercial launch. A University of Waterloo computer science graduate, he has driven architecture and product delivery at JW Player—scaling systems to millions of users—and more recently led platform and player work that materially increased JW adoption. As a co-founder of Uppercase HR he translated product vision into a production-grade API, Chrome/Gmail and Slack integrations, and managed remote engineering teams. Now at Compass he blends hands-on coding (Python, JavaScript, Flask/Pyramid) with software architecture and Agile leadership to modernize complex systems. He’s equally comfortable optimizing large-scale back ends and crafting responsive front-end experiences, and has a track record of turning entrenched legacy stacks into unified, permissioned platform APIs.
10 years of coding experience
15 years of employment as a software developer
Ontario Secondary School Diploma, Ontario Secondary School Diploma at Weldon Park AcademyBachelor, Software Engineering, Bachelor, Software Engineering at University of Waterloo
English
Github Skills (67)
pip10
starlark10
bazel-rules10
pypi10
file-generator10
gazelle9
python9
profiling9
mwaa9
cgo9
opentracing9
bazel9
rule9
intellij-plugin8
monitoring8
Programming languages (6)
Github contributions (5)
UrbanCompass/aws-mwaa-local-runner
Dec 2021 - Sep 2023
This repository provides a command line interface (CLI) utility that replicates an Amazon Managed Workflows for Apache Airflow (MWAA) environment locally.
Contributions:4 reviews, 9 PRs, 10 pushes in 1 year 9 months
mwaacommand-line-interfaceamazonlocallyapache
UrbanCompass/scikit-learn
Mar 2022 - Apr 2024
scikit-learn: machine learning in Python
Contributions:2 reviews, 1 PR, 1 push in 2 years 1 month
pythondata-sciencelearn-machine-learningsklearnneural-networks
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