Dylan Beadle
Director Of Engineering, DigitalOps at ResMed
Saint Petersburg, Florida, United States
Summary
👤
Senior🎓
Top SchoolDylan Beadle is a seasoned software engineering leader with nine years focused on mobile and cloud platforms, now directing DigitalOps engineering at ResMed from Saint Petersburg, Florida. He combines hands-on iOS development—having architected and shipped multiple top-10 paid and free apps—with strategic leadership in architecture, DevOps, and cross-functional product delivery. Dylan has repeatedly turned prototype innovation into production-grade systems, instituting Design Thinking, Lean Start-up, Agile, and regulatory-aware practices across teams. His background includes rebuilding large mobile platforms, managing offshore teams, and shipping high-profile consumer apps like ESPN Radio and Radio Disney, while also mentoring engineers and running hiring programs. He maintains a strong interest in AI/ML and deep learning, bringing curiosity about how those technologies can enhance mobile experiences and clinical products. Notably, he took an extended sabbatical to travel Africa, reflecting a breadth of perspective that informs his pragmatic, user-focused approach to software.
9 years of coding experience
21 years of employment as a software developer
High School Diploma IB Diploma, High School Diploma IB Diploma at Escola Americana do Rio de JaneiroBusiness Administration, Business Administration at Universidade Federal do Rio de Janeiro
English, Portuguese
Stackoverflow
181reputation
26kreached
4answers
1question
Github Skills (20)
markov10
alchemy9
logic8
llm8
tvm8
language-model7
cocoa-touch6
xcode6
uuid6
mod-rewrite6
iphone6
htaccess6
uisegmentedcontrol6
regex6
objective-c6
Programming languages (3)
Github contributions (5)
dylanbeadle/alchemy-2
Sep 2016 - May 2020
Alchemy 2 - Inference and Learning in Markov Logic
Contributions:6 commits, 3 PRs, 7 pushes in 3 years 8 months
inferencemachine-learningalchemymarkovlogic
dylanbeadle/chimera
Nov 2016 - Nov 2016
Contributions:1 push in 1 day
deep-learningmachine-learningbrainstormfindings
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