Mark

Mark Vrublevskyi
C/C++ Embedded Software Engineer
[открыть контакты](см. выше в блоке «контактная информация») | https://github.com/Fta1d | LinkedIn

Professional Summary
Embedded Systems Engineer specializing in autonomous control systems and real-time computer vision
integration. Proven track record developing complete targeting system from concept to deployment,
combining FreeRTOS-based firmware, AI/ML integration on edge devices, and precision motor control
algorithms. Strong expertise in ESP32, Raspberry Pi, Pico, Jetson platforms, TensorRT optimization, and
safety-critical system principles. Currently seeking junior-level positions in autonomous systems, robotics, or
defense technology companies where I can contribute my unique blend of embedded and AI skills while
learning from senior engineers in collaborative team environment.

Work Experience
Embedded Software Engineer | UkrSmartTech
04.25 – Present | Kyiv, Ukraine
UkrSmartTech is a defense technology company specializing in AI-powered solutions for military
applications, developing autonomous systems and intelligent surveillance platforms.

Primary Responsibilities:
Developer for autonomous targeting system, managing complete development lifecycle
Design and implement real-time embedded firmware on ESP32, Raspberry Pico
Integrate computer vision and AI inference on Jetson, Raspberry Pi platforms
Develop motor control systems, sensor interfaces, and communication protocols
Create Python-based control applications with GUI for system monitoring
Implement safety-critical design principles for military-grade reliability
Key Achievements:
Developed complete turret control system integrating precision motor control, real-time target tracking,
and computer vision processing for autonomous targeting platform
Built multi-camera processing pipeline on Jetson Orin Nano with YOLO person detection optimized via
TensorRT, enabling simultaneous CSI and USB camera operation.

Technical Skills
Embedded Development: ESP32, Jetson Orin Nano, Raspberry Pi, C/C++,UART/I2C protocols, real-time
systems, deterministic scheduling, FreeRTOS
Computer Vision & AI: YOLO object detection, TensorRT, OpenCV, GStreamer, multi-camera processing,
model quantization, edge inference
Software Engineering: Python, PyQt5/PySide6, Git, Linux system administration, Docker, systemd
services, serial communication
Control Systems: PID control, Kalman filtering, sensor fusion, motion prediction, lead compensation,
encoder feedback processing
Hardware Integration: Motor drivers, magnetic encoders, multi-sensor systems, fault detection
Development Tools: VS Code, ESP-IDF extensions, virtual environments, debugging tools, performance
profiling

Education
Bachelor in Computer Science
National Aviation University (NAU), Kyiv, Ukraine
2019 - 2023