M.Sc. student in Applied Informatics in Natural Sciences at the Faculty of Nuclear Sciences and Physical Engineering (FNSPE), Czech Technical University (CTU) in Prague.

My interests lie at the intersection of high-performance computing, numerical methods, quantitative finance, machine learning, and modern systems programming. I enjoy building software that combines strong theoretical foundations with practical performance.

• Modern C++ & Rust
• High Performance Computing (HPC)
• Scientific Computing
• Numerical Methods & Optimization
• Quantitative Finance
• Machine Learning
• Parallel Programming
• Visualization & GUI Development

Languages C++ · HPC C++ · Rust · Python · C#

Domains Scientific Computing · Optimization · Machine Learning · Quantitative Finance · Numerical Linear Algebra · Performance Engineering

Frameworks & Tools Qt · FastAPI · React · CUDA (learning) · Git · Linux

Practices CI/CD (GitHub Actions) · Unit Testing · Code Coverage (Codecov) · Static Analysis

I contribute to TNL (Template Numerical Library), where my graduate research focuses on implementing an Active-Set Quadratic Programming solver in modern C++. The project is part of my master's research and aims to extend TNL with efficient optimization algorithms for scientific computing applications.

MarketPulse AI also doubles as research infrastructure for an upcoming paper comparing Prophet vs. LSTM+Prophet hybrid models for financial time-series forecasting.

MAPE — Multi-Asset Pricing Engine C++20 pricing engine with a Rust/egui GUI for options, bonds, and FX forwards, with AD-based Greeks and parallel Monte Carlo.

PathLab Interactive Rust pathfinding visualizer (DFS, BFS, Dijkstra, A*) for desktop and WebAssembly.

ClusterLab Interactive 2D/3D clustering visualizer in Rust (k-means, Voronoi, PCA) with native GUI and WebAssembly support.

CERN Bachelor's Thesis — Register GUI Qt/C++ desktop app for reading and writing FPGA hardware registers via μHAL/IPbus, built for the CERN AMBER (NA66) experiment.

Market Data Dashboard ASP.NET Core (C#) web app for stock market visualization with technical indicators and a Python-based prediction module.

ProcForge Rust implementation of Object-Process Methodology (OPM) with Petri-net simulation, started as a FJFI ČVUT semester project, with the goal of growing into an open-source OPM tool if grant funding comes through.

MarketPulse AI AI-powered stock/crypto research platform combining classical models (k-NN, Linear Regression) with deep learning (LSTM, Prophet, Chronos-2, Kronos) and sentiment analysis, backed by a FastAPI + React stack.

• High-performance numerical algorithms
• Optimization methods
• Scientific software engineering
• Quantitative finance research
• Machine learning for financial time series
• Modern C++ and Rust ecosystems

I enjoy building software where mathematics, algorithms and performance matter. Whether it's numerical solvers, financial models, visualization tools or machine learning systems, I'm interested in producing software that is both scientifically rigorous and practical.

I use AI-assisted development tools (Claude Code, GitHub Copilot) to accelerate implementation while maintaining rigorous engineering practices, testing, and code review.