Enthusiastic about the convergence of embedded systems and machine learning. I am eager to learn and apply machine
learning and computer vision skills to contribute to the industrial domain. Dedicated to exploring the intersection of hardware and artificial intelligence.
Electronics
I used to study electronics: physics laws in Physics course, electric physics and
basics of using oscilloscope in Electronics course, logic gates, flip-flops, counters, registers, etc. in
Circuit Design course, timers, PWM, ADC, DAC, etc. in Microcontrollers course and so on. I also had some
experience with several Arduino boards (using Proteus for simulation), STM32 board (using CubeMX) and some
outdated custom boards from the university, based on Intel 8086 microprocessor. I also had
some hands-on experience with Raspberry Pi, Arduino, ESP32, etc. Got some experience with sensors, soldering,
circuits, etc.
I am interested in machine learning and computer vision. I have experience with TensorFlow, PyTorch and OpenCV.
I am still learning and trying to improve my skills in this field. I am also interested in TinyML and EdgeAI.
I have completed several courses in this field and have some certificates. I learned basics of machine learning
algorithms, such as linear regression, logistic regression, neural networks, K-means clustering, PCA, SVM. I also
learned how to use TensorFlow, using CNN, RNN, LSTM. I have small experience with OpenCV, I used it for detecting
system on Raspberry Pi for robot. I also have experience with TinyML, I used TensorFlow Lite on Arduino Nano 33
BLE. Now I am working on my own project, that includes detecting objects on the
aerial images.
Still a lot to learn, still need to build more solid knowledge and experience.
University Courses
I am a V. N. Karazin Kharkiv National University graduate and current student at Kyoto University of Advanced Science.
I share my solutions of assignments here.