Showcasing impactful projects and technical achievements.
Convolutional neural network implemented from scratch in Rust.
CNN autoencoder detecting industrial machine anomalies from sound, reaching 0.98 AUC vs. a 0.99 AUC research baseline.
Built an SVM in C# using Sequential Minimal Optimization, no external ML libraries, validated on Iris and MNIST.
Implemented the NEAT algorithm from scratch and used it to train Flappy Bird and Pong-playing agents.
Studied the mathematical foundations of PCA and produced a Manim-animated explainer video in my native language.
Built an equation parser converting math expressions into an abstract syntax tree, as a hands-on transition from C# to F#.
