I make computers do things they weren't designed to do.
Then I debug the consequences.
Building software across the stack, from kernel-level chaos to mobile interfaces.
Into AI orchestration, agentic systems, memory hacking, reverse engineering, systems programming, and performance engineering. Working with Kotlin, Android, iOS, backend systems, C/C++, Python, and whatever else gets the job done.
I don't marry tech stacks. I make them earn their place.
- AI Engineering — LLMs, AI agents, orchestration, automation.
- Mobile — Android, Kotlin, iOS, cross-platform development.
- Systems — C/C++, kernel internals, memory hacking, reverse engineering.
- Backend — APIs, distributed systems, databases, architecture.
- Automation — Python, developer tooling, AI-assisted workflows.
- No hype. Show me the implementation.
- Abstractions are great until they start lying to you.
- If it can be automated, why are you doing it manually?
- Memory is limited. So is my patience.
- AI writes code. Engineers take responsibility for it.
Break abstractions. Understand internals. Build useful shit.




