Contact

(360) 601-6737

tanner.sturza@gmail.com

Washington, USA

GitHub

LinkedIn

Skills

Languages
  • Python
  • Rust
  • JavaScript
  • C++
  • C#
  • TypeScript
  • HTML
  • CSS
Frameworks
  • React
  • FastAPI
  • Flask
  • Svelte
  • Slint
  • Jinja
  • Poetry
  • Tokio
DevOps & Cloud
  • Terraform
  • Docker
  • GitLab CI/CD
  • AWS
  • GitHub Actions
  • PostgreSQL

Technical Focus

  • System Design and Scalability
  • Performance Optimization
  • Continuous Learning and Skill Acquisition
  • Tanner Sturza

    Software Engineer


    About me

    Software Engineer focused on building robust, high-performance backends and SDKs. Experienced in modernizing infrastructure and designing scalable workflows using C#/.NET, Python, and Rust. Proven ability to architect cross-platform solutions and lead development through the full software lifecycle in Agile environments. Committed to writing clean, maintainable, production-ready code that solves critical engineering challenges.


    Experience

    • OAM (Object Agent Mapper) | Maintainer | 2025-2026:
      • Developed a high-performance C# .NET SDK providing an async-first interface for agentic workflows, featuring gRPC service consumers and robust exception handling.

      • Integrated Entity Framework Core with custom attribute-based registration to support DATA_FIRST and CODE_FIRST schema discovery modes, enabling seamless LLM schema alignment.

      • Engineered client-side SQL validation and query parsing logic to ensure schema integrity and reduce server-side overhead in distributed environments.

    • PyTrace | 2025-2026:
      • 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.

    • Carb-Visor | 2023-2025:
      • 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.

      • Contributed to the core system by developing and deploying real-time Google Glass-based image recognition software utilizing OpenCV for real-time object detection.

    Education

    • Bachelor of Science Computer Science Western Governors University 2025
    • ITIL 4 Foundation 2025
    • LPI Linux Essentials 2025
    • Big Data with PySpark 2023