Logic, Philosophy &
System Architecture.

Modern and performance-oriented architecture. I ensure strong type safety with Next.ts and Nuxt.ts on the frontend, and high-speed data flow with Rust (Actix) and Nginx on the backend.

React.ts and Vue.ts for modern and type-safe interfaces. Svelte.js for lighter structures. I blend visuals and logic with TypeScript and JavaScript foundations.

C++ (Boost) and Rust: For server/system level optimization and full control. C#: For rapid project output. Go: For microservices.

PostgreSQL and MySQL for relational data. MongoDB for document-based tasks. Firebase for Mobile/Web. SQLite and RocksDB for local and embedded systems.

Beyond the standard web; privacy-focused services running on Tor Onion and Lokinet. Dynamic HTML generation directly from memory using C++ and Rust.

Tauri and Electron for using Vanilla JS, React, or Svelte on the UI side. While I like Qt and GTK, I prefer web-based solutions for developing without focusing too much on the interface.

Flutter: My preference due to ease of build and Dart's C++ like structure. I enjoy developing fan apps on Flutter.

Data-driven game development with Rust (Bevy). Unity for small-scale, mobile, or VR-focused projects. Unreal Engine 5 experience for high graphic requirements.

Since carrying multiple programs (frontend, backend, microprocessor) is difficult, I create setup files using Xix Toolset.

Scalable services via official APIs for platforms like Telegram and Discord. I use JS (Node.js) for interactivity and Rust for high performance and secure operation.

Beyond official APIs; advanced automations in Python and Go that mimic human behavior (clicks, viewing, messaging) on platforms like Twitter and Kick, routed through proxy networks.

I prefer Rust for memory safety and C++ for hardware-level control when developing complex calculations and performance-critical logic loops.

Raw data extraction (Scraping), packet manipulation, and high-speed data parsing over HTTP/1.1 and HTTP/2 protocols using Python and Go architectures.

I use Python and Go to automate repetitive workflows and system tasks. I develop web test automation and server-side scripts.

Python for one-off tasks. Rust or C++ for applications running constantly in the background. C# for quickly building and sharing apps.

Python's vast ecosystem is a huge advantage. However, I use C# when quick integration into an application is needed.

I use Ghidra to analyze application architectures. I perform vulnerability detection and logic analysis on Android JAR packages, x86-64, and x86-32 architectures.

I use Wireshark for packet analysis to understand network behaviors of applications and audit internet traffic and security protocols.

I write C++ and PowerShell (ps1) scripts for API testing and application controls. I develop custom tools to test application behaviors.

Powerful languages for optimization due to their ability to work close to the operating system. I don't see the need to lose both space and RAM by using higher-level languages when these are perfectly sufficient.

C++ & Rust: Ideal for optimized and low-level access. C#: Preferred for its ease of use and rapid development.

I prefer C++ over Python. Direct memory management for visual processing and graphics engine optimization using C++ (OpenGL/DirectX).