I'm Juan Gonzalez Burgos. I work on C++ backend systems where performance, reliability, and careful engineering matter. Over 14 years, I've built software across cloud storage, industrial automation, control systems, and open-source developer tools.
An OPC UA server SDK for Qt/C++ built around open62541. It includes extensible address-space APIs and examples for historizing data and events using SQLite. A long-running exploration of practical library design, data modeling, and industrial protocols.
An interactive browser-based PID tuning application combining a C++ numerical engine compiled to WebAssembly with a JavaScript/HTML frontend. Users can import experimental data, visualize system responses, and tune controller gains without installing desktop software. This open-source project is archived and no longer maintained.
Asynchronous programming helpers for Qt applications, focused on expressing background work and cross-thread interactions through reusable abstractions.
A Python extension for GDB that adds configurable dynamic logging to native application debugging, capturing runtime expressions and context without rebuilding the target.
A compact integration of Breakpad-style crash handling with Qt/C++ applications. It reflects my interest in actionable diagnostics and resilient native software.
JWT functionality packaged for Qt/C++, with an emphasis on integrating a widely used token format into native applications.
My early work in control engineering and industrial automation shaped the way I approach software: understand the system, measure its behavior, and design for failure as well as success. Today I bring that approach to performance-sensitive backend infrastructure.
I enjoy taking ownership of complex codebases, tracing hard production issues, improving observability and performance, and helping teammates navigate technical trade-offs.
Senior C++ backend engineer; promoted to Staff in 2024. Working on reliability, performance, and design of cloud-storage backend components.
SCADA, industrial protocols, automation software and technical leadership.
Wind energy, industrial optimization, fault detection and embedded control.
BSc Electronics & Telecommunications · Tecnológico de Monterrey.
Profilers, reproducible benchmarks and real workloads are more useful than intuition alone. Performance engineering starts by identifying what actually matters.
Crash capture, carefully designed diagnostics, and thoughtful debugging tools reduce the distance between production incidents and actionable fixes.
Good abstractions make systems easier to evolve. I value explicit trade-offs, clear interfaces and code that another engineer can confidently own.
These are principles drawn from my engineering practice, not automatically generated articles. More detailed, evidence-backed technical write-ups may follow.
Interested in C++ infrastructure, performance, developer tooling, or thoughtful system design? Find my code and professional background below.