The mc-sysprogcourse from maksymandreiev

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had some experience with several Arduino boards (using Proteus for simulation), STM32 board (using CubeMX) and some outdated custom boards from the university, based on Intel 8086 microprocessor.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.

Courses and Programms Elements of AI by University of Helsinki Click Introduction to Embedded Machine Learning by Edge Impulse (Coursera) Click Introduction to Machine Learning by University of Macerata (6 credits) Click Machine Learning by Stanford University (Coursera) Click Data Science Fundamentals by DataRoot University Click Google for Developers: Machine Learning Bootcamp Ukraine Program description DeepLearning.AI TensorFlow Developer Professional Certificate Click Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Convolutional Neural Networks in TensorFlow Natural Language Processing in TensorFlow Sequences, Time Series and Prediction TensorFlow Developer Certificate Credential Grow your career with Google Cloud: AI & Data (Ukraine) Program description Grow your career with Google Cloud (Poland) Program description JetBrains Academy (Hyperskill)



	Machine Learning 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.