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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 kacperjagodzinski@op.pl
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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.