04
Education
University of California, Berkeley
Bachelor of Arts — Computer Science
Go Bears!
UC Berkeley CS grad turned Senior Engineering Manager with over a decade of experience building high-scale production infrastructure and AI-native platform teams at Meta, TikTok, Twitch, and Moody's.
Leading AI pods across multiple wearables products including Ray-Ban Meta, Neural Band, and Orion AR Glasses. Architected an org-wide LLM-based debugging platform with automated root cause analysis and diff generation. Served as reliability and system health DRI spanning Wearables, VR, and Metaverse orgs — defining SLOs, leading incident response, and driving platformized shared infrastructure.
Built a 0-to-1 team across creation product infra, reliability/efficiency, and developer infrastructure for global TikTok. Supported product teams across the creation ecosystem while establishing team charter, roadmapping frameworks, and a high-velocity hiring pipeline.
Led a team owning viewer products, live streams, user graph, content permissioning, and browse — critical-path services with 24/7 on-call. Drove the team from initial baselines to multi-9s reliability through capacity planning, incident response, and architectural hardening.
Technical lead for notifications platform redesign and company-wide A/B experimentation architecture. Built high-scale services across the viewer experience stack.
Led a team of engineers building the company's core risk stress testing software. Hand-picked to tech lead the next-generation CECL (credit loss forecasting) platform — the company's first in category, driving emerging FASB regulatory compliance.
Architected and drove an org-wide AI-powered debugging platform at Meta, integrating crash, memory, and reliability telemetry with LLM-based automated root cause analysis and diff generation. Led the context engineering program across the wearables organization, enabling engineering teams to receive actionable RCA or automated fixes for issues spanning multiple concurrent product lines.