Tejas Mehta

- 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

Relevant Classes: Data Structures & Algorithms, Computer Architecture & Assembly Language, Software Engineering, Discrete Mathematics, Linear Algebra