I build practical software at the intersection of security, systems, and creative tools.

I enjoy turning complex technical ideas into tools that are useful, understandable, and dependable—from defensive security experiments to privacy-focused applications and creative software.

• 🔎 Digital forensics & investigation — evidence provenance, event reconstruction, and explainable findings.
• 🛡️ Cybersecurity — defensive security, hands-on lab environments, and learning how vulnerabilities work so they can be fixed.
• 🔐 Privacy-first systems — secure communication, careful data handling, and access controls.
• ⚙️ Developer tooling & automation — Linux workflows, scripting, and reliable application architecture.
• 🎬 Creative software — exploring tools that make animation and storytelling more flexible.

Systems: Linux · Bash/Zsh · Git · Docker
Development: Python · Go · TypeScript · JavaScript · React/Next.js
Security interests: Digital forensics · Blue Team/SOC workflows · Web application security · Secure-by-design development
Engineering interests: APIs · Automation · Data modeling · Testing · Observability

Tools and languages vary by project; this is a snapshot of my interests, not a claim that every tool is used in every repository.

• Understand the problem first. Prefer useful workflows over features added just for their own sake.
• Make evidence traceable. Important conclusions should be explainable and linked to their sources.
• Build security in. Treat privacy, authorization, and safe defaults as design requirements.
• Iterate with purpose. Test assumptions, document decisions, and improve based on what actually works.

I'm interested in thoughtful collaboration, practical feedback, code reviews, and projects that solve real problems.

If something I'm building overlaps with your work, feel free to open a discussion or reach out through GitHub.

_{Always learning. Building carefully. Improving one iteration at a time.}