GithubHelp home page GithubHelp logo

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boards (using Proteus for simulation), STM32 board (using CubeMX) and some outdated custom boards from the university, based on Intel 8086 microprocessor.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

Maksym Andreiev's Projects

algorithmprogrcourse icon algorithmprogrcourse

Workshop on the course "Algorithmization and Programming" at V. N. Karazin Kharkiv National University

comparchcourse icon comparchcourse

Workshop on the course "Computer Architecture" at V. N. Karazin Kharkiv National University

compengineering icon compengineering

Workshop on the course "Methods and Technologies of Computer Engineering" at V. N. Karazin Kharkiv National University

compmathcourse icon compmathcourse

Laboratory workshop on the course "Computer Mathematics" at V. N. Karazin Kharkiv National University

dataanalysiscourse icon dataanalysiscourse

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

distribsysparallelcompcourse icon distribsysparallelcompcourse

Workshop on the course "Technologies of Distributed Systems and Parallel Computing" at V. N. Karazin Kharkiv National University

dru_final icon dru_final

DataRoot University: Data Science Fundamentals. Final project

dru_flask icon dru_flask

DataRoot University: Data Science Fundamentals. Flask project

dru_labs icon dru_labs

Labs assignments from DataRoot University courses.

dru_snake icon dru_snake

DataRoot University: Data Science Fundamentals. Snake Project

kuas-mc-systems icon kuas-mc-systems

Exercises from the course "Introduction to Design 2 - Microcontroller Systems and Interfacing" in Kyoto University of Advanced Science

kuas-sysprog icon kuas-sysprog

Exercises from the course "Information Processing 3: System Programming" in Kyoto University of Advanced Science

kuas_c icon kuas_c

Exercises from the course "Information Processing 2: Introduction to C programming"

kuas_python icon kuas_python

Exercises from the course "Information Processing 1" in Kyoto University of Advanced Science

logicprogrammingcourse icon logicprogrammingcourse

A workshop on the course "Artificial Intelligence Systems" at V. N. Karazin Kharkiv National University.

matlab_kuas icon matlab_kuas

Laboratory workshop on the course "Intriduction to Numerical Analysis Programming" in Kyoto University of Advanced Science taken in 2022.

mc-sysprogcourse icon mc-sysprogcourse

Workshop on the course "System Software" at V. N. Karazin Kharkiv National University

microprocessorscourse icon microprocessorscourse

Workshop on the course "Microprocessors and their applications" at V. N. Karazin Kharkiv National University

oopcourse icon oopcourse

Workshop on the course "Object Oriented Programming" at V. N. Karazin Kharkiv National University

pythonphysicsexperimentscourse icon pythonphysicsexperimentscourse

Workshop on the course "Processing the results of the experiment and modeling physical processes in the algorithmic language Python" at V. N. Karazin Kharkiv National University

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.