I am a Computer Science student at the Technical University of Cluj-Napoca (UTCN), specializing in hardware-software integration and real-time systems.

My engineering journey began with FIRST Tech Challenge (FTC), where I developed a passion for robotics and low-level control. Today, I focus on building high-reliability embedded firmware while expanding into Machine Learning and Deep Learning to create more "intelligent" hardware.

• Embedded Systems: Architecting real-time, object-oriented C++ firmware for microcontrollers (ESP32, Arduino).
• Robotics & CNC: Implementing G-code parsing, kinematic solvers, and motion control algorithms.
• Machine Learning: Currently exploring predictive modeling and data analysis using scikit-learn.

A real-time, RTOS-based control system for a four-wheel Mecanum drive robot.

• Implemented a deterministic task scheduler using FreeRTOS to ensure strict 50Hz control loops.
• Developed a modular Subsystem architecture with automated kinematic normalization for omnidirectional movement.

A full-stack hardware/software project for an Arduino-based 2D plotter.

• Firmware: Custom C++ implementation of a G-code parser and smooth stepper motor synchronization.
• Software Stack: Developed a Python-based GUI and CLI for machine orchestration and G-code linearization.

• Languages: C++, C, Python
• Embedded: ESP-IDF, Arduino, FreeRTOS, PlatformIO
• AI/ML: scikit-learn (Learning)
• Hardware: ESP32, Stepper Drivers, Mecanum Kinematics

• LinkedIn: afrasinei-serban
• Portfolio: Coming Soon

Always looking for opportunities to work on complex control systems and edge AI.