Summary
Arjun Mullick is an engineering leader with over a decade of experience building low-latency, highly available infrastructure for large-scale consumer and ads systems, currently managing Ads optimization and attribution teams at Meta. He has led cross-functional organizations at Amazon and Audible focused on personalization, privacy, storage, and Tier‑1 availability, delivering services that handle millions of transactions and influence billions in revenue. Arjun combines deep systems engineering expertise with product-minded experimentation—shaping ad ranking, fast attribution, and feature pipelines that materially improve advertiser ROI. Known for practical privacy-first approaches, he has a track record of launching scalable personalization and A/B testing platforms and simplifying privacy controls at scale. Based in the Greater Seattle Area, he blends hands-on technical depth with people leadership to ship resilient systems under tight latency and reliability constraints.
9 years of coding experience
14 years of employment as a software developer
B.Tech Computer Science, B.Tech Computer Science at Jaypee University of Engineering and Technology