Jeffrey Arn
Software Engineering Manager at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJeffrey Arn is a seasoned software engineering manager who leads platform reliability and performance for Meta Messenger, bringing 10+ years of hands-on experience across distributed systems, real-time messaging, and AI-enabled platforms. He spent the bulk of his career at IBM where he scaled an Agentic Platform, drove a 60% MTTR reduction and 3x team velocity through process and tooling redesign, and integrated LLMs into regulated, enterprise-facing products. Jeffrey combines deep technical fluency in low-latency pub/sub, fan-out, push notifications, and multi-region replication with strong people leadership—hiring and mentoring senior engineers, setting technical strategy, and managing cross-functional partnerships. He also has a practical open-source background contributing front-end and SDK work to Watson demos and SDKs, reflecting a comfort across full-stack and backend codebases. Currently focused on AI-native engineering practices and Messenger reliability, he’s known for translating ambiguous business needs into measurable engineering outcomes at billion-user scale.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Business Administration (BBA), Digital Media Management, Bachelor of Business Administration (BBA), Digital Media Management at St.Edward's University
Github Skills (19)
json10
javascript10
apidoc10
css10
ui-design10
uid10
api10
front-end-development10
html10
nodejs10
react10
expressjs9
rest9
swift8
develop8
Programming languages (13)
Github contributions (5)
watson-developer-cloud/swift-sdk
Jul 2019 - Sep 2021
:iphone: The Watson Swift SDK enables developers to quickly add Watson Cognitive Computing services to their Swift applications.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 releases, 31 reviews, 192 commits in 2 years 1 month
Contributions summary:Jeffrey primarily contributed to the generated code of the DiscoveryV1 framework, adding new models and updating existing methods to reflect the latest API specifications. They focused on adapting the generated code base to the latest API spec while also refactoring the existing code. The user's work included modifications to handle request and response operations.
iphoneibm-watson-speechcognitivecognitive-computingsdk
watson-developer-cloud/speech-to-text-nodejs
May 2019 - Mar 2021
:microphone: Sample Node.js Application for the IBM Watson Speech to Text Service
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:2 reviews, 12 commits, 9 PRs in 1 year 10 months
Contributions summary:Jeffrey primarily contributed to the front-end development of the application. They implemented a link to the Terms of Use, updated the registration URL, and added the ability to mark models as beta in the UI. Furthermore, they made several critical fixes, ensuring proper formatting for authentication credentials and sending the correct service URL. These changes suggest a focus on both user interface and application functionality.
watsonwatson-speechibm-watson-speechibm-watson-speech-to-textmicrophone
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