Refactoring of a Traineeship Management Application

Multithreaded LSM-tree “kiwi” (pthreads, mutexes, condition variables) and LKL VFAT journaling with printk and gdb.

ROS nodes for mobile robots and RRBot joint controllers, MATLAB trajectory scripts (position/velocity), and ROS bag analysis/plots with bagpy, pandas, and matplotlib.

Haskell (FP) and Prolog (LP) exercises : recursion, lists, strings, higher-order funcs, and logic queries.

RISC-V assembly with Ripes — tests, pipeline/CPI analysis, forwarding, caches, RGB888→RGB565.

MATLAB/Octave lab projects on signal analysis, Fourier transforms, convolution, filtering, and basic image processing.

Image and video compression exercises using MATLAB and H.264/H.265 reference software — includes DCT, PSNR, and BD-Rate analysis.

Machine and deep learning models for image processing and handwritten digit classification using Python, scikit-learn, and PyTorch in Jupyter Notebook (Logistic Regression, k-NN, PCA, MLP, CNN).

A* & UCS algorithms for 8-puzzle and Minimax algorithm for turn-based board game in Java

A compiler for a Greek-based educational language (greek++) in Python. Generates intermediate code (quads.int), C code (output.c), assembly (final.asm), and symbol tables (output.sym).

A Java web application using Spring Boot and MVC to manage university traineeships. Includes role-based access, authentication, form handling, and MySQL integration.

A Java desktop application with GUI developed using Swing. The project visualizes and manages information related to natural disasters. Built with Eclipse IDE.