Mr Georgy Urumov


2025 PhD Computer Science; University of Westminster

2023 Level 7 Special Study Supporting Learning in Higher Education

2022 MSc (Hons) Big Data Technologies; University of Wesminster - Distinction

2002 MSc (Hons) Finance and Economics; London School of Economics

2001 BSc (First Class Honours) Banking and International Finance; Bayes Business School

2018 BSc (Hons) Combined Stem; Open University

Short Summary

LLMs training, Stochastics, PyTorch/TensorFlow, pandas/NumPy, prompt engineering, Docker/Kubernetes, cloud platforms, scikit-learn, XGBoost/LightGBM, MLflow, CNNs, SQL, Linux, Git, Python, Java, HTML/CSS, Jupyter, AI, Tableau, Client-Server Model, Non-Linear Analysis, Linear Programming, Econometric Modelling, Minimax optimization, Applied Mathematics, Forecasting, Financial Economics, Trading Strategy, Soft Skills. 

HESA Number: 2110836794463

2023 Level 7 Special Study Supporting Learning in Higher Education

Research

Fuzzy Amplitudes and Kernels in Fractional Brownian Motion: Theoretical Foundations

DOI: 10.3390/sym17040550

Fuzzy Fractional Brownian Motion: Review and Extension

DOI: 10.3390/a17070289

Clustering stock price volatility using intuitionistic fuzzy sets

DOI: 10.7546/nifs.2022.28.3.343-352

Essay on Volatility Clusters and Time Series Prediction

DOI: 10.1109/IS57118.2022.10019619


In brief

Research areas

LLM, Agentic AI, Probabilistic AI, Fractals, Fuzzy, Fractal Brownian Motion, Machine Learning Techniques, Artificial Intelligence, Forecasting Neural Networks, Math, Fractal Math, Fuzzy Fractal Math Support Vector Machines, Clustering

Skills / expertise

2025 PhD Computer Science; University of Westminster, 2022 MSc Big Data Technologies; University of Westminster (Distinction), 2002 MSc (Hons) Finance and Economics, London School of Economics, 2001 BSc(1st Class Hons) Banking and International Finance, Bayes Business School and 2018 BSc (Hons) Combined STEM Open University

Supervision interests

AI, LLMs, Math, Fintech, Statistics, Economics