Tanner Sturza

Architected a high-performance Rust execution engine using tokio::JoinSet and a priority queuing system to manage concurrent, deterministic agent operations against enterprise data.

Developed an async-first C#/.NET SDK and distributed gRPC/Protobuf middleware, integrating Entity Framework Core with custom attribute-based registration to support dynamic LLM schema discovery.

Engineered client-side SQL validation and automated JSON schema reflection for LLM consumption, featuring built-in prompt injection defense and real-time event-driven audit logging.

Engineered a lightweight Python distributed tracing framework utilizing sys.settrace() for automatic, low-overhead function instrumentation and latency analysis

Designed a modular telemetry architecture supporting multiple persistence backends, including SQLite and batch-memory collectors for optimized data ingestion.

Built a modern observability dashboard using React and TypeScript to provide real-time visualization of execution spans, error rates, and performance bottlenecks.

Re-architected core backend microservices from Python to Rust, achieving a 95% reduction in P99 latency and handling 10k+ concurrent connections.

Developed a reactive telemetry dashboard using Svelte and WebSockets to visualize high-frequency biometric data streams with <16ms render times.

Deployed real-time edge computer vision software onto Google Glass infrastructure utilizing OpenCV for real-time object detection and telemetry ingestion.