Daniel Jabbour

Chief Of Staff at Applied Intuition

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Daniel Jabbour is a pragmatic engineering leader and Chief of Staff based in the San Francisco Bay Area with nine years of experience building data platforms, APIs, and consumer-facing mobile features. He transitioned from hands-on software roles at Tesla, Microsoft, and PagerDuty into leadership at Applied Intuition, blending deep technical fluency (Java, Go, React Native, Kubernetes, cloud infra) with operational strategy. His background includes developing energy data visualization and autobidder-related systems at Tesla and instrumentation to detect memory issues at scale while at Microsoft. Daniel pairs a Computer Engineering degree from McMaster with a proven ability to move between code and cross-functional program execution, making him effective at translating engineering trade-offs into business outcomes. Notably, he has worked across the full stack and infrastructure—shipping mobile, backend, and platform solutions—so he brings both product empathy and production-hardened systems thinking. Colleagues describe him simply as a problem solver who thrives on untangling complex technical and operational challenges.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor of Engineering Computer Engineering, Bachelor of Engineering Computer Engineering at Faculty of Engineering - McMaster University
languagesFrench, Arabic, English
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Stackoverflow

Stats
19reputation
2kreached
2answers
0questions
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Github Skills (8)

javascript6
web-application6
asset-pipeline6
ruby6
ruby-on-rails6
carrierwave6
react4
emotion4

Programming languages (2)

SwiftHTML

Github contributions (5)

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DanielJabbour/Gymalitics

May 2018 - May 2020

An iOS fitness application designed to keep and process workout analytics.
Contributions:2 PRs, 160 pushes, 2 branches in 2 years
analyticskeepfitnessswiftios
tofuadmiral/ToneRecognition

Dec 2017 - Nov 2018

YHacks 2017 Project - A web application that detects the emotion associated with a body of text
Contributions:10 commits in 11 months
reactbodyemotionweb-application
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