A selection of my work
An implementation of a convolutional neuronal net with pytorch to classify weather conditions from pictures
A full-stack application for training and visualizing a linear regression model and a neuronal network using C++, Node.js, and React.
A python implementation of the Simplex algorithm to solve linear optimization problems. With a streamlit interface and additional features for visualization (also sensitivity analysis) and a LLM integration.
A basic and universal unit converter with python backend with Flash API and a React frontend.
A hybrid Python/C++/Matlab implementation of the Bee Algorithm for solving the Traveling Salesman Problem. Features interactive visualizations, performance optimizations, and customizable colony parameters to efficiently find near-optimal routes.
An advanced, interactive chess coordinates training application with precise statistics, timing, and performance tracking, built in Python and Tkinter.