Rain Jiang
San Francisco, California, United States
Summary
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RockstarRain Jiang is a seasoned software engineer with 12+ years of hands-on experience and a strong track record in server-side Java, systems programming in C/C++, and high-performance distributed network applications. Currently at ByteDance IaaS and formerly at AWS/Amazon, he blends deep protocol and HTTP/proxy expertise (TLS, TCP/UDP, Nginx/Apache modules) with pragmatic system design for high availability and low latency. He has led teams for 8+ years, acting as Scrum master and technical mentor while driving CI/CD and containerized deployments using Docker, Kubernetes, and AWS. Rain is comfortable across the stack—persistence, caching (Redis/Memcached), UML/OOA/OOD and performance tuning—and frequently architects multithreaded, scalable services. Based in Cupertino, he pairs strong interpersonal skills with a bias for shipping under pressure and uncovering subtle performance bottlenecks. An engineer who favors production-grade reliability, he brings both cloud-scale experience from top-tier firms and a hands-on systems background.
3 years of coding experience
Github Skills (12)
keras6
gateway6
deep-learning5
machine-learning5
pytorch5
proxy4
mxnet4
networking4
tensorflow4
rust3
distributed-training3
high-performance3
Programming languages (3)
Github contributions (5)
bytedance-iaas/LMCache
Feb 2025 - Mar 2025
Making Long-Context LLM Inference 10x Faster and 10x Cheaper
Contributions:3 reviews, 9 PRs, 37 pushes in 1 month
bytedance-iaas/dynamo
Mar 2025 - Mar 2025
A Datacenter Scale Distributed Inference Serving Framework
Contributions:20 pushes, 6 branches in 7 days
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