Keegan Mccallum
Canada
Summary
👤
Senior🎓
Top SchoolKeegan Mccallum is a founder and infrastructure-focused engineer with 12 years building cloud-native systems and realtime inference platforms for generative AI and interactive media. He’s currently leading uRun to deliver inference cloud infrastructure that makes generative AI feel realtime, after heading ML Infrastructure and inference efforts at Luma AI. Keegan has repeatedly founded and scaled MLOps and AI infrastructure ventures (Xler AI, AptEdge) and built core cloud and gitops workflows that power production services and multi-integration data platforms. His background includes architecting realtime optimization systems at TD Asset Management and migrating enterprise services to containerized Kubernetes on GCP. An active contributor to open-source front-end tooling, he improved Plotly’s bar chart behavior for complex stacked/negative-value cases, showing attention to UX edge-cases as well as backend scale. He blends product-minded engineering with deep infrastructure know-how, making him effective at turning research-grade models into low-latency, production-ready experiences.
12 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS Computer Software Engineering, Bachelor of Science - BS Computer Software Engineering at Queen's UniversityBachelor of Arts - BA Accounting and Finance, Bachelor of Arts - BA Accounting and Finance at University of Waterloo
Stackoverflow
164reputation
9kreached
6answers
0questions
Github Skills (17)
data-visualizations10
javascript10
charts10
data-visualisation10
chartjs10
charting10
data-visualization10
plotly10
d3js9
android-studio6
updating6
android6
alasql6
gradle6
webpack6
Programming languages (12)
Github contributions (5)
plotly/plotly.js
May 2016 - Jun 2016
Open-source JavaScript charting library behind Plotly and Dash
Role in this project:
Front-end Developer
Front-end DeveloperContributions:11 commits, 2 PRs, 5 comments in 1 month
Contributions summary:Keegan primarily focused on modifying the bar chart implementation within the plotly.js library. Their contributions involved enhancing the "barmode" feature, specifically implementing and refining the "relative" option to allow for stacked bars with negative values below the axis. They also made changes to layout attributes. The user also addressed formatting and style issues. Furthermore, they fixed linting errors and resolved issues concerning relative bar mode with specific data.
chartsdashcharting-librarychartwebgl
keeganmccallum/sql4pandas
May 2014 - Sep 2016
Contributions:36 commits, 2 pushes, 1 branch in 2 years 4 months
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