Dmytro Mulkin
About Dmytro Mulkin
Dmytro Mulkin is an experienced Embedded Engineer at Ciklum, where he has worked since 2015. He specializes in robotics, IoT, and Industry 4.0, completing over 50 projects and engaging in Linux-based AI development for embedded systems.
Work at Ciklum
Dmytro Mulkin has been employed at Ciklum as an Embedded Engineer since 2015. Over his nine years with the company, he has contributed to more than 50 successful projects across various domains, including robotics, IoT, and Industry 4.0. His role involves engaging in Linux-based AI development for embedded systems, showcasing his expertise in integrating IoT solutions with major cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.
Education and Expertise
Dmytro Mulkin studied at the National Technical University of Ukraine 'Kyiv Polytechnic Institute' from 2001 to 2007, where he focused on physical and bio-medical electronics, earning a specialist degree. Additionally, he completed his elementary education at School #211 in Kiev, where he received intensive training in English language and literature from 1989 to 2000. His educational background supports his extensive knowledge in embedded systems and related technologies.
Technical Skills and Specializations
Dmytro specializes in ARM processors, including those from ST Microelectronics, Raspberry Pi Pico, ESP32/8266, and Nordic Semiconductor. He has significant experience in developing wireless communication systems utilizing protocols such as LoRa, GSM/LTE, and LPWAN. His skill set extends to advanced 3D design and modeling, including proficiency in 3D printing and CNC milling for rapid prototyping. He adheres to best practices in GIT and code conventions in his software development work.
Project Contributions
Throughout his career, Dmytro Mulkin has successfully completed over 50 projects in various fields. His work encompasses significant contributions to robotics, IoT applications, and initiatives aligned with Industry 4.0. His involvement in Linux-based AI development for embedded systems highlights his commitment to advancing technology in these areas.