projects

Hackathons

CryptoCaching

EPFL Hackathon 2025 🇨🇭 • 🥉 3rd Place

Tokenization P2P Blockchain

A blockchain-based alternative to traditional GeoCaching. We solved the admin maintenance problem by creating a P2P network to claim and verify cache discoveries. Each cache contains an NFC tag reprogrammed by users, with a token passing mechanism implemented on Hedera to prevent false claims of unvisited caches.

Pitch Presentation PDF Presentation

Misc

Elliptic Curve Arithmetic

EC arithmetic based on blog: Elliptic Curve Cryptography: A Gentle Introduction

Rust Elliptic curves Cryptography

A Rust implementation of elliptic curve cryptography primitives that includes efficient point addition, scalar multiplication and multiscalar multiplication. The repository features different scalar multiplication methods and implements Pippenger's algorithm for optimized multi-scalar multiplication. All operations are implemented over finite fields.

Github

University Projects

Optimization of fluid dynamics simulation

TU Munich • Spring 2025

C++ High-Performance-Computation

This final project was part of the High-Performance Computing Praktikum at TUM. We worked on implementing a parallelized tsunami simulation, with a primary focus on single-core parallelism using SIMD operations. Our approach leveraged x86 architecture features such as vectorized addition and multiplication. Additionally, we addressed load imbalances present in the existing code to improve overall performance.

presentation report

Efficient Möbius Computations on Multipermutations

Charles University • Autumn 2023 • Advisor: Vít Jelínek

Rust Combinatorics Algorithms

This Rust project efficiently computes the Möbius function for multipermutations. We model multipermutations within a poset to capture their ordering and interval structure, which are crucial for the recursive algorithm with memoization we employ. The recursive nature of the Möbius function makes it computationally challenging, so our focus is on achieving high efficiency. The Möbius function offers insights into permutation patterns which is a research interest of advisor Vít Jelínek.

GitHub

Classification of magnetic phases by graph neural networks

Charles University • Spring 2023 • Advisor: Pavel Baláž

PyTorch GNN Physics

This project, supported by the Student Faculty Grant, explores the application of graph neural networks (GNNs) in physics. We encoded the magnetic configurations of the Ising model as graphs, where nodes represent spins and edges capture interactions. Using this model, we aimed to predict configurations with minimal energy. This problem is particularly interesting as it is known to be NP-complete. We experimented with various GNN architectures using PyTorch and concluded with a report on our results, highlighting the most effective approach.

GitHub