The Industrialization of Search: Scaling Distributed Systems for a billion users

🌟 We are thrilled to present Avirek Ghatia at the USF Data Science Speaker Series!

🚀 Have you ever wondered what it takes to build a search bar for billions of users in under a second?
At such a vast scale, search isn't just about clever algorithms; it's about creating the robust infrastructure that ensures these algorithms function reliably and efficiently. Just a 1% inefficiency can lead to millions in operational losses or delays that impact user experiences.

🔍 In this insightful session, Avirek will discuss:

• The multi-stage retrieval funnel
• How modern search systems transcend simple keyword matching
• The trade-offs needed to balance performance, cost, and user experience across diverse search applications

About the Speaker

Avirek Ghatia is a Staff Software Engineer at Slack, specializing in the infrastructure and distributed systems behind global enterprise search. With experience at TikTok tackling hyper-scale search challenges, he holds a Master of Science in Computer Science from New York University and brings over a decade of experience in developing large-scale systems, from early IoT platforms to contemporary semantic search infrastructures.

✨ We hope to see you there!

#DataScience #SearchSystems #DistributedSystems #MachineLearning #SoftwareEngineering #USFCA #USFMSDSAI #DataInstitute #TechTalk #BigData

📍 Location: 101 Howard St, University of San Francisco - Downtown Campus, San Francisco, CA 94105
🎟️ Get your tickets here!