Security-minded builder working across reverse engineering, vulnerability research, backend systems, automation, and AI developer tooling.
I build software with a security research mindset: understand systems deeply, break assumptions carefully, then turn that knowledge into reliable tools and products.
- Security focus: reverse engineering, vulnerability research, fuzzing, binary analysis, exploit reproduction, security automation
- Engineering stack: Go, TypeScript, Python, backend systems, developer tooling, workflow automation
- Current direction: AI-assisted engineering workflows, security research tooling, high-signal technical writing
- Working style: precise, pragmatic, and obsessed with making complex systems easier to reason about
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Reverse engineering, fuzzing, vulnerability analysis, exploit reproduction, and turning raw findings into clear technical artifacts. |
Shipping practical systems with Go, TypeScript, Python, automation, and AI tooling rather than stopping at experiments. |
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Debugging from first principles, reading source, tracing behavior, and reducing noisy problems to useful models. |
Clean interfaces, focused documentation, reproducible workflows, and tools that feel sharp instead of bloated. |
Curating this space. Best projects and research notes will be pinned here as they become public.
lingxiao-coding— TypeScript-based coding and agent explorationDFRPI— Python project archiveD0ub1e-D.github.io— security notes, fuzzing notes, and research writing
Core domains: reverse engineering, vulnerability research, fuzzing, binary analysis, Go backend development, TypeScript tooling, Python automation, and AI developer tools.
Older notes live at d0ub1e-d.github.io. The archive is rough, but it reflects the same long-term direction: security, systems, and learning in public.
Build like an engineer. Investigate like a researcher. Ship like it matters.