Mykyta

MYKYTA MAKHORIN
JUNIOR DEVELOPER
My web Portfolio [відкрити контакти](див. вище в блоці «контактна інформація»)

[відкрити контакти](див. вище в блоці «контактна інформація») Linked.in

Slovakia, Košice Jedlíkova 9 04011 Github

ABOUT ME
I am a 3rd year student of Intelligent systems, a calm and focused person, at university I mainly study Computer Vision,
Machine Learning, and Web technologies, in my free time I am interested in Robotics and Design.

SKILLS
Web development: Python, JavaScript, HTML, CSS, React, Next.js, Angular, Tailwind.css, Django, Flask, API, TypeScript,
UI/UX design, SQL, SQL (Oracle), Ngrok.
Mobile app development: C#, .NET, Android Studio, Unity, Xamarin.
Machine Learning: PyTorch, NumPy, Matplotlib, Keras, TensorFlow, Pandas.

WORK EXPERIENCE
ActInSpace Hackathon November 2022
Experience: As part of a project on "Solving the space trash problem", worked on the frontend part of the website and the
presentation of our team solution.

EDUCATION
Bachelor of Science in Intelligent Systems September 2021 - May 2024
Technical University of Košice
Slovakia, Košice
Machine Learning / Deep Learning
Database Management
Web Development

MY PROJECTS
Web Interface for Drone Telecontrol 2023-2024
Bachelor's degree project for the Technical University of Košice to create a web interface and server side to simplify and
speed up drone control. The project included UI/UX design, frontend and backend of the website as well as an application for
local connectivity and secure data transfer.
Supervised by a PhD candidate.
Tech Stack: React, Next.js, Python, JavaScript, HTML, CSS, Next.js, Ngrok, Tailwind.css, Flask.

Unity 2D Mobile Game 2023
Developed a mobile game on the Unity game engine. My part was to conceptualize the game, code and deploy it on the
Android platform, and develop the UI/UX design and styling of the game.
Tech Stack: C#, Unity, Git, Unity Asset Store.
Link: https://github.com/Pudding2159/Unity-2D-Simple-Mobile-Game

Bagging Ensemble of Neural Networks 2022
Development and implementation of bagging algorithm for testing and evaluating different logics for ensemble learning of
neural models.
Tech Stack: Matplotlib, PyTorch, Scikit-learn, NumPy.
Link: https://github.com/Pudding2159/Bagging-Algorithm-for-Neural-Networks

LANGUAGE
English Slovak Ukrainian Russian