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👯 I’m curently finishing work on Intelligent State Detector
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🌱 I'm curently learning Machine Learning and MLOps
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🌲 I last learning Neural Networks, C and C#
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💻 I am planning to make a project in Python, the topic is to make it easier to apply for various positions using a list of popular websites
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🔭 I’m recently working on Concurrent-Programming
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👨💻 All of my projects are available on This profile
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📫 How to reach me [email protected]
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📄 Know about my experiences: I am looking for my first programmer job
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⚡ Fun fact I was lucky enough to have found something I like since I was a child, and this passion turned out to be programming. Some time has passed, about 10 years, and I am still developing in the direction that I like
This is software for a gardening store. At that time, this project turned out to be quite an undertaking and allowed me to complete a milestone on my path as a programmer. I gained a lot of theory which I tried to put into practice. Thanks to it, I learned, among other things:
- object-oriented approach in C++
- using libraries
- git support
- writing CMakeLists
- writing unit tests
and many others, which are described in more detail in the readme.md of this project on github.
I made it a year ago, since then I have caught a lot of mistakes I made in it, I have learned a lot since then.
It was born out of a desire to learn concurrent programming. The idea of the project itself is very simple, it is simply balls bouncing off the walls and each other, but it provides a lot of scope for learning various programming techniques. The most important things I learn while working on this project are:
- concurrent programming
- multithreaded programming
- asynchronous programming
- use of the critical section
- making window applications
- using the MVVM pattern
I describe more benefits of this project in the readme.md file.
Intelligent State Detector is a project in which, as a group of 4 people, we try to make a device that will enable the examination of the state of the user who wears it. For this we use a neural network that I created and implemented in C without using libraries. Detailed plans for the network and the entire project are in the GitHub repository. I gained knowledge in the field of:
- Operations of neural networks
- Forward propagation
- Backpropagation
- mathematics
- C programming
Apart from the theory itself, which I had to master to perfection, including mathematics, I also learned to use this knowledge. It is worth noting that the project is still in the production phase, but the neural network has already been written.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent