Koki Yoshida is a seasoned software engineer with 11 years of experience building secure, high-performance distributed systems and payments infrastructure across startups and large tech companies. He has led engineering teams and technical integrations as a founding engineer at Liquido, scaled fraud and payment services with sub-10ms P99 latency, and contributed core network- and policy-level features to the open-source StackRox Kubernetes security platform. At Meta he worked on Wearables AI memory and product features for Ray-Ban Meta sunglasses, and now serves as an early Applied AI hire and founding engineer for Anthropic’s Tokyo office. His background blends systems research from Stanford (stateful software switches and P4 compilation) with pragmatic production engineering—often operating at the intersection of networking, security, and real-world vendor integrations. Comfortable shipping both infra and product features, he has repeatedly handled cross-border technical complexity (LATAM banking integrations, China dev teams) and open-source security tooling.
11 years of coding experience
8 years of employment as a software developer
The High School Affiliated to Renmin University of China
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
The StackRox Kubernetes Security Platform performs a risk analysis of the container environment, delivers visibility and runtime alerts, and provides recommendations to proactively improve security by hardening the environment.
Role in this project:
Back-end Developer & Security Engineer
Contributions:44 commits in 6 months
Contributions summary:Koki primarily focused on enhancing the StackRox Kubernetes Security Platform. Their work included fixing issues in the risk event timeline CSV generation, adding features such as the namespace to policy criteria, and implementing the "GetAllowedPeers" API. They also made changes related to external network source handling and syncing network baselines, which improves the security features of the platform. Furthermore, the user contributed to the code related to the policy engine by implementing a feature to reset observation periods on network policy updates and contributed to the network baseline policy, which points to their understanding of the security domain.
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