I design, develop, review, and debug production-grade software across C/C++ firmware and modern web stacks. I also evaluate AI-generated code for correctness, maintainability, and engineering quality, with a strong focus on measurable business outcomes.
Software Engineer with deep experience in embedded firmware, full-stack application development, and AI-assisted engineering workflows. I regularly perform structured code reviews, static analysis, root-cause debugging, and quality improvements across distributed teams. Open to flexible project-based and hourly contract engagements.
Measurable outcomes from production engineering projects across embedded systems and AI-assisted delivery.
Daily GitHub Copilot usage for faster implementation and prototyping, paired with strict review gates for correctness, edge-case coverage, and maintainability.
Practical evaluation of AI-generated technical output on real tasks, with structured feedback loops focused on logic quality, standards, and production readiness.
Production development across metering firmware and web applications, including protocol integrations, diagnostics, and analytics-driven interfaces.