Ting Yang
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTing Yang is a Technical Lead with 7 years of experience building high-performance distributed systems and production AI infrastructure, currently focused on ML systems and LLM training at ByteDance. Previously at Google she helped design a low-latency serving platform that handled hundreds of terabytes and hundreds of millions QPS, cutting CPU costs by over 50% and earning internal recognition. She has led end-to-end ML platform efforts at Apple and AmmoAI, combining real-time agent orchestration, secure scalable APIs, and workflow automation. Comfortable moving between deep performance optimization and higher-level platform design, she routinely ships monitoring, experiment safety, and autoscaling features for mission-critical services. Based in San Jose, she pairs rigorous academic foundations from Peking University with hands-on leadership in fast-moving AI teams. A practical builder with a taste for tooling (paas tools on GitHub), she favors pragmatic, observable systems that keep AI models useful in production.
7 years of coding experience
11 years of employment as a software developer
Master's degree, Computer Software and Theory, Master's degree, Computer Software and Theory at Peking University
Github Skills (34)
redis10
lmdb10
pika9
nosql9
rocksdb9
dump8
infrastructure8
visualizations7
key-value7
bigtable7
redis-server7
elasticsearch7
elastic6
migration6
observability6
Programming languages (6)
Github contributions (5)
yangtinggit/go-sniffer
Jul 2020 - Aug 2020
Contributions:9 pushes in 5 days
yangtingtools/mysql
Jan 2021 - Jan 2021
Contributions:3 pushes, 1 branch in 1 day
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