Alexey Devyatkin
About Alexey Devyatkin
Alexey Devyatkin is a Machine Learning Engineer with a PhD in Automated Control Systems from Санкт-Петербургский Государственный Электротехнический Университет «ЛЭТИ». He has extensive experience in software development, particularly in algorithms for planning and navigation, and has worked with embedded systems and unmanned vehicles.
Work at WaveAccess
Alexey Devyatkin has been employed at WaveAccess as a Machine Learning Engineer since 2019. His role involves developing algorithms for planning and navigation, contributing to advancements in machine learning applications. He has accumulated five years of experience in this position, focusing on innovative solutions that enhance the functionality of various systems.
Education and Expertise
Alexey Devyatkin studied at Санкт-Петербургский Государственный Электротехнический Университет «ЛЭТИ», where he earned a Bachelor's degree in Automated Control Systems from 2012 to 2016. He continued his education at the same institution, achieving a Master's degree in the same field from 2016 to 2018. He completed his PhD in Automated Control Systems from 2018 to 2022. His expertise spans microcontrollers, higher-level systems such as ROS, and machine vision.
Background
Prior to his current roles, Alexey Devyatkin worked at SWD Embedded Systems (CBD BC) as a Software Developer from 2014 to 2019. This five-year experience provided him with a solid foundation in software development, particularly in embedded systems and real-time operating systems. He has also been involved in university robotics competitions, where his team achieved recognition.
Achievements in Robotics and UAVs
Alexey Devyatkin has experience working with unmanned aerial vehicles (UAVs) and unmanned vehicles. His participation in university robotics competitions has led to his team winning prizes, showcasing his skills in robotics and algorithm development. His work in these areas reflects his strong interest in embedded systems and their applications.