Jason Pan

Staff Software Engineer at DataSnipper

Melbourne, Victoria, Netherlands
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Summary

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Senior
🎓
Top School
Jason Pan is a Staff Software Engineer with a decade of experience building full-stack and mobile-first products, currently shaping architecture and delivery at DataSnipper and Telstra. He combines software architecture, product and UX design expertise with deep iOS experience (Swift, Objective-C, React Native), having led mobile strategy and AR integration for enterprise IoT applications. Comfortable across backend, SRE and product roles, he has moved between hands-on engineering and technical leadership at startups and large organisations, and teaches coding and STEM topics in educational settings. His academic background in advanced computer science, maths and physics informs a pragmatic, research-minded approach—evident from prior computer vision research at Monash. Colleagues rely on him to translate complex requirements into polished user experiences and robust platform designs.
code10 years of coding experience
job6 years of employment as a software developer
bookHigh School, High School at Scotch College Melbourne
bookBachelor of Computer Science Advanced (Honours) Maths Physics Software Engineering, Bachelor of Computer Science Advanced (Honours) Maths Physics Software Engineering at Monash University
languagesEnglish, Chinese
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Stackoverflow

Stats
634reputation
17kreached
16answers
8questions
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Github Skills (109)

windows10
react-native-app10
remote-config10
in-app-purchase10
google-auth10
receipt-validation10
firebase10
auth10
javascript10
modular10
openlibrary10
browser10
push-notifications10
pouchdb10
sdk10

Programming languages (7)

TypeScriptC#JavaC++JavaScriptObjective-CMarkdown

Github contributions (5)

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Contributions:25 commits, 8 pushes, 1 branch in 1 year 4 months
🔥 A well-tested feature-rich modular Firebase implementation for React Native. Supports both iOS & Android platforms for all Firebase services.
Contributions:2 pushes, 1 branch in 6 months
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Jason Pan - Staff Software Engineer at DataSnipper