Arjun Mullick
Engineering Leader and Speaker on Distributed Systems, Personalization, Recommendations, Ads, and Attribution at Scale
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Arjun Mullick is an engineering leader with more than 15+ years of experience building large-scale distributed systems, personalization and recommendation platforms, advertising technologies, and attribution systems at Meta, Amazon, and Audible.
His work has spanned ads measurement and optimization, real-time targeting, search and content discovery, experimentation, digital commerce, privacy-aware attribution, and resilient storage infrastructure. He has led engineering teams responsible for platforms processing billions of events and supporting customer experiences and business decisions at global scale.
As a speaker and published author, Arjun shares practical lessons from designing and leading complex technology platforms. His areas of expertise include distributed systems, personalization and recommendation systems, advertising technology, attribution and measurement, real-time data infrastructure, experimentation, privacy, and engineering leadership. His sessions turn large-scale engineering challenges into actionable principles that practitioners and technical leaders can apply within their own organizations.
Area of Expertise
Judge at NovaSpark Pitch Competition Upcoming
Judge. Selected to evaluate startup pitches from young innovators based on innovation, impact, creativity, and feasibility.
Hackathon Judge and talk on Distributed Cloud Storage @ NovaSpark Pitch Competition
Talk at National Biomedical Resource for Advanced ESR Spectroscopy Cornell University
Seminar on “Distributed Storage and Cloud Computing” at the National
Biomedical Resource for Advanced ESR Resource (ACERT) and the Signal Science Lab at Cornell University
on Aug 27, 2025
Watch full video at https://www.youtube.com/watch?v=L2ifiCf4RK8
DragonHacks 2025
Judge. Reviewed hackathon submissions and assessed their technical execution, innovation, and potential impact.
AI workshop and speaker at Empower Hacks 3.0
A featured workshop speaker at Empower Hacks 3.0, Opening session & introduction available here https://youtu.be/mXMl9Qhflrc?si=btReP36i5kvpLswV
Tech Innovation for Good Hackathon
Judge and presenter. Invited to evaluate technology-for-good projects. A related speaking session on AI Vector DB.
AlgoFest Hackathon
ReverieHacks 2025
Hackathon reviewer and judge. Evaluated student projects across areas including AI/ML, software development, application development, embedded systems, and social-impact innovation.
https://reveriehacks2025.devpost.com
Telsem Hack 2025
Judge. Evaluated high-school technology projects for creativity, originality, design, practical value, and social impact. The official Devpost page lists Arjun Mullick as an Engineering Manager at Meta on its judging panel.
Arjun Mullick
Engineering Leader and Speaker on Distributed Systems, Personalization, Recommendations, Ads, and Attribution at Scale
Actions
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