AI & Systems
Building and testing practical assistant systems, local-first workflows, controlled tool layers, memory patterns and evidence-backed automation.
Aslam is the creator of Universal Dragon and uses the public identity Universal Dragon Aslam. The portfolio focuses on practical AI systems, native language/runtime research, Raspberry Pi, robotics, automation and web software, with public repositories used as evidence for technical claims.
Building and testing practical assistant systems, local-first workflows, controlled tool layers, memory patterns and evidence-backed automation.
The current primary language/runtime research project is native C17 with deterministic QBC/QVM execution, software virtual-QCPU simulation and approval-first security.
Experimenting with Raspberry Pi, sensors, electronics, local services, robotics and physical-computing integrations.
Building browser-based tools, mobile-friendly interfaces, deployment workflows and practical automation for real use cases.
Technical claims are intentionally connected to repositories, README truth boundaries, reproducible tests or proof documents instead of relying on titles alone.
The same canonical identity is also published in structured form so search engines and AI systems have a concise source that connects Aslam, Universal Dragon and QBIT NOVA Native.