Development · AI · Cybersecurity

I build software that is meant to survive real use: web applications, internal tools, backends, APIs, system tools, infrastructure-adjacent products, and interfaces that connect products together. My main stack includes React, TypeScript, Rust, Go, and Python, with a focus on performance, maintainability, and clear architecture.

That includes everything from polished user-facing web apps to command-line tools, DNS software, databases, and compiler-like systems. I choose tools that let a project grow without turning into technical debt, and I prefer clean engineering over trendy shortcuts.

I work with AI as an implementation problem, not just a concept: assistants, retrieval workflows, prompt systems, agent tooling, and AI features integrated into real products. The goal is reliability, useful output, and a setup that fits your tools and data.

That includes custom AI tools, connecting AI to internal systems, adding AI-powered product features, and designing practical workflows around prompts, context, and model behavior. I also combine AI work with security so data handling, access, and rollout stay sane.

Cybersecurity is part of the engineering work itself: secure defaults, safer architecture, review of risky areas, and hardening that holds up in production. I treat security as a first-class concern, not a box to tick at the end.

I combine that with development through secure coding, review, and safer implementation patterns, and with AI through better handling of data, context, permissions, and model-connected systems. If you need someone who thinks in terms of both building and protecting, I can help.