Aleksa Vukadinović

Full-Stack Developer & Computer Science Student

Solving complex problems through code and creative thinking.

About Me

Aleksa Vukadinović

👋 Hi there! I'm Aleksa Vukadinović, a 3rd-year Computer Science student at the Faculty of Mathematics, University of Belgrade.

Currently working as a Full-Stack Developer with a focus on backend development, I enjoy tackling complex problems and building scalable systems that make a difference.

My technical journey spans from low-level programming to modern web development, with a particular passion for exploring the cutting edge of technology.

I'm passionate about:

Backend Development Artificial Intelligence Computer Graphics Compilers & Languages

Tech Stack

Programming Languages

C
C++
Python
JavaScript
TypeScript
Java
C#

Web & Backend

React
Next.js
Node.js
Fastify
Vite
Docker
HTML5
CSS3

Databases

MongoDB
PostgreSQL

Tools & Others

Git
GitHub
Postman
OpenGL

Projects

DigitEye - AI Image Recognition

Developed a neural network in Python using TensorFlow and Keras, trained on the MNIST dataset for recognizing handwritten digits. The model successfully identifies digits with 90% accuracy and supports custom parameters like layer count and epochs.

Python TensorFlow Keras AI Neural Network

Starfall Shores - OpenGL with custom engine

Developed a custom graphics engine for a university course project, utilizing OpenGL and GLSL shaders. Implemented advanced rendering techniques such as GPU instancing for efficiency and a bloom post-processing effect for enhanced visuals.

C++ OpenGL GLSL Computer Graphics Engine Instancing Bloom

Volley of Rockets - Physics Simulation

Collaborated in a team of two to develop a Python simulation modeling the trajectories of projectiles launched into a tornado with varying angles and velocities. This was created as part of the Introduction to Mechanics university course.

Python Simulation Physics Teamwork Mechanics Ballistics

AmbroAI - Allergy Prediction Model

Created an AI model based on linear regression in Python during 'The Great Hacka' hackathon. The model predicts the number of potential allergic reactions within a population based on geographic location and size.

Python AI Linear Regression Hackathon Data Science

KIAA - Algorithm Course Materials

Developed C++ code materials for the 'Construction and Analysis of Algorithms' course. Implemented advanced data structures like Tries, Segment Trees (including Lazy), Fenwick Trees, and complex algorithms such as FFT, KMP, Z-array, and Manacher.

C++ Algorithms Data Structures FFT KMP

Get in Touch

Feel free to reach out! I'm always open to discussing new projects, creative ideas, or opportunities to collaborate.