Yicheng Qin
Co-Founder at Stealth AI Startup
Belmont, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYicheng Qin is an engineer-founder with 12 years of experience building large-scale, distributed systems and a decade-plus track record in production at companies like Uber and CoreOS. He led a 50-engineer effort at Uber to design and launch the customer identity platform that serves ~160M monthly users and generated roughly $150M in incremental bookings, working across Golang, Lua, Cassandra and Spanner. As an early core contributor to etcd and related projects, he has deep expertise in consensus (Raft), client-server reliability, and security hardening for critical infrastructure used by Kubernetes and other cloud-native systems. Now co-founding an AI startup in Belmont, he’s applying that platform-scalability mindset to help more customers scale with AI assistance. Notably, his open-source work includes protocol-level optimizations (HEAD support, TCP keep-alive, cancelable watches) that improved robustness and performance in widely used distributed tooling. He combines hands-on systems programming with product-level impact and a history of shipping secure, high-throughput platforms.
12 years of coding experience
11 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Peking UniversityMaster's degree Master of Science in Information Networking (Computer Science), Master's degree Master of Science in Information Networking (Computer Science) at Carnegie Mellon University
English, Chinese
Stackoverflow
111reputation
3kreached
6answers
1question
Github Skills (31)
api-rest10
server-communication10
consensus10
key-value-store10
http-api10
api-design10
server-client10
fleet10
distributed-systems10
etcd10
security10
raft-consensus-algorithm10
go10
client-server10
systemd10
Programming languages (7)
Github contributions (5)
etcd-io/raft
May 2014 - Nov 2015
Raft library for maintaining a replicated state machine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:137 commits in 1 year 5 months
Contributions summary:Yicheng primarily focused on modifying and refactoring the `raft` library, which is used for maintaining a replicated state machine. Their contributions involved optimizing and improving the performance of the library, as evidenced by the changes to data structures and network simulations. The user also implemented new tests to verify the correctness of the raft implementation, including a cluster test, and incorporated additional features such as removing a node from the cluster.
raft-consensus-algorithmconsensuspaxosdistributed-systemsreplicated
etcd-io/etcd
Feb 2014 - Nov 2015
Distributed reliable key-value store for the most critical data of a distributed system
Role in this project:Back-end Developer
Back-end DeveloperContributions:25 releases, 1541 commits, 711 PRs in 1 year 9 months
Contributions summary:Yicheng contributed to the `etcd-io/etcd` repository by implementing improvements to the Raft consensus algorithm, specifically within the `github.com/goraft/raft` package, adding support for the `HEAD` HTTP method, and optimizing performance in areas related to the key-value space. Their work included modifications to the server code, including the introduction of a `HEADResponseWriter` for efficiency and the addition of new HTTP routes. Moreover, the user addressed specific issues by adding fixes related to features such as updating expired TTLs and integrating functions for cluster management.
etcdcriticalconsensusdistributed-systemreliable
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