Yurii K. Embedded Developer
Summary
- Master’s degree in Power Plants with honors from National Technical University Kharkiv Politechnical Institute of Power Engineering, June 2018, demonstrating a strong academic background and technical proficiency
- Designed modules for Raspberry Pi CM4, focusing on power management systems and implementing various technologies such as Gstreamer, Nvidia Jetpack, and Onvif for enhanced module functionality.
- Optimized iwr1843 radar for metal detection, enhancing its capabilities in distance measuring and shape determination on surfaces using technologies like Microwave radar, IMX477R, and Coral TPU.
- Developed sensors for smart home ecosystems to monitor household presence and activities, utilizing radar, MLX90640, and smart home technologies for effective embedded software solutions.
- Expertise in power management systems, demonstrating advanced skills in designing and implementing robust power director systems for embedded modules.
- Proficient in advanced radar system development, with a strong background in enhancing metal detection and implementing complex technologies such as Ballistic mathematics and SDR.
- Skilled in integrating machine learning and radar data for smart home applications, focusing on innovative presence and activity monitoring systems.
- Upper-Intermediate English
Work Experience
Embedded Developer, Raspberry Pi СМ4 Module Design
Summary: Design of modules for Raspberry Pi СМ4, including power director design.
Responsibilities: Designing and implementing various modules for Raspberry Pi СМ4 and power management systems.
Technologies: Gstreamer, GUI, object tracker, PID controller, Jetson TX2, Nvidia Jetpack, Onvif, PELCO-D, AlexMos
Embedded Developer, Iwr1843 Radar Optimization
Summary: Optimization of the iwr1843 radar for metal object detection, distance measuring, and shape determining on surfaces.
Responsibilities: Development and optimization of radar systems for improved metal object detection capabilities.
Technologies: Microwave radar, Ballistic mathematics, Raspberry PI, IMX477R, Coral TPU, object tracker, object detection, pixhawk, PID regulator, MAVlink, LoRa Mesh, PCB, UPS, GPS, radio direction finding, SDR, quadrant photodiode, PCB
Embedded Developer, Smart Home Ecosystem Sensor Development
Summary: Development of a sensor for smart home ecosystems, enabling monitoring of household member's presence and activities.
Responsibilities: Embedded software development and data handling for smart home sensors, focusing on presence and activity monitoring.
Technologies: Radar, MLX90640, BluePill Board, IR and radar data, XRF object, XRF 3D scene visualization, smart home
Education
- National Technical University Kharkiv Polytechnic Institute of Power Engineering
Received a master's degree with honours in Power Plants
June 2018