Software Engineer & AI / Applied Data Science Student
I specialize in high-performance systems programming, low-level optimization, fullstack web architectures, and applied machine learning.
- Systems & High Performance: Rust, C++20, Vulkan API, Raylib, Win32 / Bluetooth Protocols
- Artificial Intelligence & Data Science: Python, PyTorch, Scikit-Learn, Pandas, NumPy, Data Analysis & Applied ML
- Web & Architecture: TypeScript, React, Next.js, Node.js, REST & WebSocket APIs, Tailwind CSS
- Tooling & Engineering: Git, CMake, Docker, Linux, CI/CD, Performance Profiling
High-Performance C++20 / Vulkan / Raylib Engine
- Modern C++20 game project with direct Vulkan API integration for low-latency GPU rendering and cache-optimized memory management.
Native Bluetooth SPP/RFCOMM Control in Rust
- Lightweight CLI & library interfacing directly with Windows Bluetooth serial streams via Win32 sockets to manage Bose devices without vendor software.
- Applied AI & Data Science: Building statistical models, data analysis pipelines, and applying machine learning algorithms to practical software engineering problems.
- Systems & Fullstack Architecture: Bridging the gap between low-level hardware performance and modern web interfaces.
- GitHub: @MaelProgramming
- Services: Open for freelance missions on high-performance optimization, system tools, AI/Data integration, and fullstack TypeScript/React tasks.