• Developed support for extra exchange message types using C++ in a low-latency environment

• Designed a monitoring solution to analyze > 5M messages/min & publish statistic info with negligible latency overhead

• Architected a dynamic rate-controller for non-critical message publishing, reducing congestion in high-volume scenarios

• Implemented intelligent caching & revalidation logic for SQL read queries, decreasing average per-query latency by 30%

• Developed production-deployed runtime & configuration features (Rust & Go) to allow for cache timeframe customization

• Created local development integrations for Hyperdrive within Cloudflare’s open-source C++ ‘workerd’ runtime

• Worked on the Cloud AI Vision Team

• Optimized memory footprint & performance of a real-time Vision AI diagnostics tool (C++ & OpenCV) by ~80%

• Improved concurrency & calculation paradigms to eliminate video frame backlog and enable near-instant overlays

• Architected a large-scale decoupling and expansion of the diagnostics tool, enabling overlays of additional AI model results through the development of an expandable system relying on OOP & Polymorphism principles

• Utilized Angular, GraphQL, Java & Protobuf to implement new features in the Cloud AI Vision Console UI & Backend

• Worked on the R2 Storage Team

• Implemented an automatic content-type detector for uploaded files that is utilized in ~4M requests/day.

• Developed an internal storage access tracing solution for trust & safety investigations.

• Utilized TypeScript, C++, Go, Cloudflare Workers, and Cap’n Proto in the storage tracing tool & content-type detector.

• Closed ~10 JIRA tickets implementing functionality enhancements in the production API & runtime environments