Jiani Wang is a software engineer with 7 years of experience building large-scale distributed systems and recommendation models, currently contributing to PyTorch Distributed at Meta on LLM and diffusion model training. She has driven Reels retrieval and ranking work focused on safety, integrity, and new-user growth, and previously built low-latency data platforms at Bloomberg and datacenter networking tooling at ByteDance. Her background blends research-grade OSS work from Stanford (distributed ML training and fault-tolerant storage) with production engineering across MySQL/HBase/Vitess and Kubernetes-based deployments. Known for shipping at scale, she pairs deep systems expertise with hands-on ML infrastructure development and has touchpoints in notable open-source projects like torchtitan.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Tsinghua University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
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