Xiao Li
Software Engineer (Capstone) Agentic System at Google
United States
Summary
👤
Senior🎓
Top SchoolXiao Li is a software engineer with 12 years of experience who now builds agentic systems for YouTube Ads at Google, focusing on distributed systems, Kubernetes on GCP, LangGraph, and scalable microservices. Previously at Tencent and through internships at Haixia Bank and KPMG, Xiao designed production-grade LLM distillation and inference optimizations that cut inference costs ~5× and improved latency and GPU utilization while maintaining high accuracy. He blends ML-driven feature pipelines, robust observability, and workflow scheduling—shipping end-to-end solutions that handle millions of daily requests with sub-0.01% failure rates. A Carnegie Mellon master’s student with a background in data science, he’s equally comfortable coding Python backends and instrumenting large-scale MLOps, and has a track record of turning research prototypes into reliable production systems.
12 years of coding experience
Master's degree Information Systems, Master's degree Information Systems at Carnegie Mellon UniversityBachelor's degree Data Science & Big Data Technology, Bachelor's degree Data Science & Big Data Technology at Xiamen University
Github Skills (2)
tpm4
bootloader3
Programming languages (1)
Github contributions (5)
analysiser/Azurender
Mar 2014 - Sep 2015
Contributions:58 commits, 1 push in 1 year 5 months
analysiser/leetcode
Jan 2015 - Mar 2015
Contributions:76 commits, 49 pushes, 1 branch in 2 months
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