BACKEND ENGINEER, HIGH-THROUGHPUT & LOW-LATENCY SYSTEMS
Backend engineer focused on high-throughput, low-latency, and real-time systems. Experience building APIs, TCP networking services, matchmaking infrastructure, simulation tooling, replay/debugging systems, and data pipelines operating under real load. Strong in reliability, performance, and end-to-end system behavior.
An end-to-end, bidirectional, real-time, climate telemetry system. Data is collected by a custom-built, embedded system and streamed to a web dashboard. WebSocket connections managed by a Node.js server deployed to Cloud Run on Google Cloud.
A networked Unity puzzle game supported by a Node.js + TypeScript backend. Uses AI-powered natural language processing and semantic validation to evaluate player-submitted answers based on meaning rather than exact phrasing.
Built backend RESTful APIs with Node.js, TCP-based matchmaking services in C#, and data aggregation pipelines for NoSQL databases serving live player traffic.
Developed software for ingesting real-time data from the MLB StatCast system, powering the baseball viewing experience on Apple's VisionOS.
Developed runtime-configurable AI training environments and a deterministic event record/replay system for agent observability.
Developed host-authoritative networked systems focused on replication, synchronization, and state consistency under latency and packet loss.
Implemented interactive system logic for the best-selling game of 2021.
For opportunities or inquiries, reach out via LinkedIn or email me at christopher.ravosa99@gmail.com.