Contact

(360) 601-6737

tanner.sturza@gmail.com

Washington, USA

GitHub

linkdin

Skills

Languages
  • Python
  • Rust
  • JavaScript
  • C++
  • 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

    Performance-driven Software Engineer with 5+ years of programming experience, specializing in systems architecture (Rust, C++) and cloud-native web development (Python, AWS). Proven track record of modernizing legacy APIs to improve latency and resource efficiency. Expert in designing Agentic AI workflows and cross-platform native applications. Committed to delivering scalable, type-safe infrastructure using Terraform and Docker.


    Experience

    • OAM (Object Agent Mapper) | Lead Software Engineer | 2025-2026:
      • Architected a high-performance Rust execution engine using tokio::JoinSet and a priority-based queuing system to manage concurrent, deterministic agent operations against enterprise data.

      • Engineered a distributed gRPC/Protobuf middleware and mapper abstraction layer, enabling multi-language SDKs (Python, Go, .NET) to safely interact with SQL databases through structured function calling.

      • Developed an automated schema reflection system that generates JSON Schemas for LLM consumption, featuring built-in prompt injection defense and real-time event-driven audit logging.

    • Agent-Chef | AI Product Engineer | 2025:
      • Engineered a high-performance, cross-platform desktop application using Rust and the Slint toolkit as an executable desktop application

      • Implemented an Agentic AI workflow utilizing OpenAI GPT-4.1; engineered a prompt-chaining pipeline with structured JSON validation to ensure type-safe recipe generation

      • Designed a native, responsive UI and implemented persistent storage by saving user data to custom local application filesystem

    • Carb-Visor | Lead Software Engineer | 2020-2025:
      • 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