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cover photo for the portfolio landing page, showcasing three images: a landscape, an individual, and a digitally generated sky

explorer & enthusiast

Aliaksandra Kazyrytskaya Machine Learning

ML Software Engineer & BSc Computer Science Student interested in Computer Vision.

Aliaksandra giving a presentation during the PJATK hackathon project

Hello! 👋🏻 I'm Aliaksandra, but feel free to call me Sasha. My coding projects are influenced by my life experiences, where I unite the realms of art, technology, and physics. During my formative years, I actively engaged in math Olympiads and art competitions, experiences that gave me a profound understanding of the synergy between science and art. 

Pursuing BSc in Computer Science at Polish-Japanese Academy of Information Technology • Warsaw, Poland

Space Hackathon by Alpha XR crew PJAIT 2022 • 3rd place with 'Duck Space Crew Assistant' project by the Yoda team

Open-Source Contributor at Zero-to-Mastery Academy

International Children Painting Competition in Hong Kong 12-13, Country Representative (Participant Number: #1)

Tech Skills


my_information = {
    "Research": "🎓 Conducting research on AI and Computer Vision",
    "Collaborations": "💡 Open to collaborating on coding projects",
    "Current Work": "💻 Currently working on Remote Sensing",
    "Dev Experience": "👾 WordPress Developer & Search Engine Optimization Specialist @ Synder (YCombinator Summer21 FinTech App)",
}


technologies_i_work_with = {
    "Languages": ["Python", "C++"],
    "ML Libraries": ["Pandas", "NumPy", "PyTorch", "TensorFlow", 
    "Matplotlib", "Scikit-Learn"],
    "Cloud Platforms": ["AWS", "Google Cloud"],
    "CI/CD": ["Jenkins", "Gitlab"],
    "Containers": ["Docker", "Kubernetes"],
    "Computer Graphics Tools": ["Blender", "Unreal Engine"],
    "Other": ["Linux", "Kali Linux", "Bash", "Git"],
}


print("My Information:")
for key, value in my_information.items():
    print(f"{key}: {value}")


print("\nTechnologies I work with:")
for key, value in technologies_i_work_with.items():
    if isinstance(value, list):
        value_str = ", ".join(value)
    else:
        value_str = value
    print(f"{key}: {value_str}")
    

Coding Projects

visual representation of a machine learning model classifier

ML Picture Classificator

tech: Python3, TensorFlow 2.0, Jupyter Notebook, ML libraries

The project utilizes transfer learning and TensorFlow 2.0 framework to train a model capable of classifying over 100 different dog breeds. By leveraging the knowledge of a pre-trained model, the project achieved accurate image classification by fine-tuning the model on a specific dataset.

network crawler with interconnected nodes and links, illustrating data connectivity and relationships in a digital network

Network Visualization

tech: Python3, D3.js, SQLite

This project demonstrates how to visualize networks and interconnections using the D3.js (Data-Driven Documents) visualization library. The code is written in Python and SQLite for data preparation and management, and the resulting data is used to generate interactive network visualizations using D3.js.

an illustrative depiction of a custom-designed YouTube clone platform integrated with League of Legends channel

API YouTube App

tech: Python3, GET Requests, Macros, Markup Filters

Built using Python, the web application fetches data from the YouTube API and displays it in an easy-to-use and user-friendly format.

image processing with vibrant orange and blue lights, creating a captivating visual effect

C++ Image Processing Library

tech: C++, CMake

This C++ library performs various image processing tasks based on universal and specific C++ programming practices. The library includes features such as 2-D discrete convolution and correlation, edge detection, filter algorithms, image histogram and equalization, gray-level transformation, and enhancement of image quality.

generated AI representation of medical data, featuring a color scheme of green and orange, conveying a visually enhanced insight into healthcare information

tech: Python3, ML libraries

A dataset encompassing various health attributes and medical history, with the goal of creating a predictive model that can identify individuals at risk of heart disease. The project aims to enhance healthcare outcomes by providing timely insights for preventive care and intervention.

Chat interface displaying market price predictions analyzed by a machine learning model, providing insights and data-driven forecasts for financial decision-makers

Market Price Prediction

tech: Python3, ML libraries

This machine learning project is focused on predicting the sale prices of trucks through the application of advanced algorithms. It leverages a comprehensive dataset that includes key attributes of the trucks, such as mileage, make, model, and year of manufacture.

generated representation of OpenCV algorithm tracking vehicles and pedestrians on the streets of London

Cars and Pedestrians Tracking

tech: Python3, OpenCV library

Simple Python application for detecting and tracking cars and pedestrians in videos using OpenCV. The application uses a pre-trained object detection model from OpenCV.