Rohan Goel
Senior Software Engineer (SWE III) @ Meta
- Role
- Senior Software Engineer at Meta
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Rohan Goel
Hi, I’m Rohan — a Senior Software Engineer at Meta AI, where I help build large-scale systems that make AI more useful, reliable, and fun to interact with.Over the past few years at Meta, Instagram, Facebook, and Google, I’ve worked across everything from machine learning and backend infrastructure to product growth and automation. Along the way, I’ve led projects that:• Saved Meta $50M annually by working with Music rights holders• Reached 1M+ new users through AI-generated content• Improved feed performance and engagement across millions of users• Reduced outages and boosted reliability with better testing and alerting systemsI love solving complex problems with simple, elegant systems — and collaborating with great people along the way. My interests sit at the intersection of AI, large-scale distributed systems, and product design — basically, anything that pushes the boundaries of what technology can do at scale.When I’m not coding, you’ll probably find me exploring new tech ideas, experimenting with AI side projects, or watching a good football match (go Arsenal ).
Experience
Senior Software Engineer
Jan 2025 — Present · NY, US
Led a cross-functional workstream to operationalize Google Trends and Zeitgeist data, designingan agentic flow that automatically generated 10K+ articles resulting in 1M+ new visits• Developed an automated system that transformed 3M user profile photos into AI-generatedvisual variations, showcasing the creative potential and capabilities of underlying models.• Proposed and led workstream to create targeted notifications for the Meta AI app, reaching aCTR of 6%, becoming the second most popular app on launch day• Designed instrumentation and alerting for our entire backend model to help us prepare for launchday - 40% of bugs on launch day were caught as a result of this instrumentation and alerting• Analyzed and identified latency optimizations on feed using parallel programming and caches toimprove feed latency by 10%, resulting in a 30% increase in feed loads• Authored and advocated for testing framework resulting in a 40% reduction in SEV frequency
Education
Dubai International Academy
High School Degree, International Baccalaureate
2014 — 2017
University of Illinois Urbana-Champaign
Bachelor of Science - BS and Bachelor of Arts - BA, Dual Degree in Computer Science and Economics
2017 — 2021
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