Simran Patil
Jill of all trades, Engineer by day, Builder at heart -- currently building agentic AI platforms at Meta.
San Francisco, California, United States
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Simran Patil is a Production Engineer at Meta, where she's spent six years building the systems and culture that keep large-scale infrastructure reliable. As the founding engineer of Meta's Privacy PE team, she scaled it from 2 to 9 engineers while serving as Tech Lead for real-time asset cataloging infrastructure serving Meta's Privacy, Security, and Capacity orgs at sub-5-second p99 freshness. She's driven org-wide reliability initiatives defining SLAs and observability standards, and led the design of a datastore-agnostic reading service that saved 48.8 engineering years by moving a 6-person team to maintenance-only mode. Her work on self-service privacy infrastructure was published at the IEEE Symposium on Privacy Expectations in 2025. Simran holds an MS in Computer Engineering from UIUC, focused on distributed systems, security, and privacy, and is passionate about building resilient systems as infrastructure gets more complex and more AI-shaped.
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Simran Patil
Jill of all trades, Engineer by day, Builder at heart -- currently building agentic AI platforms at Meta.
San Francisco, California, United States
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