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MaksymAndreiev/README.md

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.

Image 1 Go to university courses Image 4
Go to university courses

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boards (using Proteus for simulation), STM32 board (using CubeMX) and some outdated custom boards from the university, based on Intel 8086 microprocessor.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

Karazin Kharkiv National University

1 year courses
2 year courses
3 year courses
4 year courses

Kyoto University of Advanced Science

1 year courses
2 year courses
3 year courses

Not yet
4 year courses

Not yet

Pinned

  1. JetBrains-Academy JetBrains-Academy Public

    JetBrains Academy projects

    Python 2

  2. PythonScientificResearchCourse PythonScientificResearchCourse Public

    Laboratory workshop on the course "Using the Python programming language in scientific research".

    Python 2

  3. DataAnalysisCourse DataAnalysisCourse Public

    Workshop on the course "Data Analysis" at V. N. Karazin Kharkiv National University

    Python 1

  4. DecisionSupportSystemsCourse DecisionSupportSystemsCourse Public

    Workshop on the course "Computer decision support systems" at V. N. Karazin Kharkiv National University

    Python

  5. NumericalMethodsCourse NumericalMethodsCourse Public

    Workshop on the course "Numerical Methods" at V. N. Karazin Kharkiv National University

    Python