Education

• BSc Artificial Intelligence — Johannes Kepler University Linz, Mar 2024 – Jul 2027 (expected)

  120 of 180 ECTS completed. Grade average 1.7; mathematics and stochastics coursework 1.3 (Austrian scale, 1 = best).

Selected coursework

• Mathematics and stochastics — Mathematics for AI I–III (measure and integration theory, functional analysis, linear algebra, differential equations), Stochastic Simulation, Numerical Optimization, Statistics for AI
• Machine learning — Machine Learning and Pattern Classification, Machine Learning: Basic / Supervised / Unsupervised Techniques, Learning from User-generated Data, Hands-on AI I–II
• Computer science — Algorithms and Data Structures 1–2, Programming in Python I–II, Logic, Formal Models, Computational Logics for AI

Writing

• Monte Carlo Simulation of SDEs and Variance Reduction via Control Variates — BSc seminar paper, 2026

  Studies the control variate method for Monte Carlo estimation of functionals of stochastic differential equations, using a martingale of known expectation to reduce estimator variance, and shows how the reduction degrades as the payoff decouples from the underlying process. Write-up

Experience

• Sales Assistant (part-time) — VomFass, Linz, Jul 2024 – Dec 2025

  Customer advice and day-to-day shop operations alongside full-time study; German-language customer contact throughout.

Skills

• Programming — Python (NumPy, pandas, scikit-learn, PyTorch); R (stochastic simulation)
• Data — SQL, MySQL, MongoDB
• Tools — LaTeX (typesetting papers), Git, Linux

Languages

• Russian — native
• English — language of instruction throughout the BSc; IELTS Academic 6.5 (2023)
• German — B2; ÖSD examination scheduled for August 2026