Work experience
Hugging Face🤗
Machine Learning Research Engineer Intern
July 2025 - current
Improving coding LLM agents.
ETH Zurich
Research Assistant
May 2025 - July 2025
◆ Research Assistant at Secure, Reliable, and Intelligent Systems Lab (SRI).
◆ Improving multilingual training, alignment and safety for EEU languages
ETH Zurich
Research Assistant
Nov 2023 - May 2024
◆ Project Intern at Secure, Reliable, and Intelligent Systems Lab (SRI).
◆ Documenting capabilities and vulnerabilities of the state-of-the-art large language models
◆ Contributing to LVE (Language Model Vulnerabilities and Exposures) project.
◆ SynthPAI: A Synthetic Dataset for Personal Attribute Inference: Semester project under supervision of Prof. Martin Vechev (co-supervised by Robin Staab and Mark Vero)
Fractal Analytics
Junior Data Scientist
Sep 2021 - Jul 2022
◆ Went through a 3-month internship with intensive training for statistics, machine learning techniques, data engineering and cloud (Azure)
◆ Executed an end-to-end Market Mix Modelling project for a particular segment of one of the world's biggest CPG companies, including methods research, EDA, developing a statistical model and fine-tuning it
Tech stack
Education
ETH Zurich
Statistics MSc
2022-current
⭐ Main courses: Natural Language Processing, Large Language Models, Interactive Machine Learning: Visualization & Explainability, Probabilistic AI, Big Data for Engineers, AI4Good.
⭐ Master thesis "Enhancing Mid-Resource Language Performance in Large Language Models": end-to-end pipeline recipe for efficient bilingual LLM training and alignment (under supervision of prof. Vechev).
⭐ Extracurricular activities:
◆ Statistics representative at Seminar fur Statistik (SfS): organizing and leading events for students of Statistics MSc program
◆ Statistics MSc mentor: mentoring incoming first-year students of the program
◆ Member of VMP (student organization of D-MATH ETH department)
National Technical University of Ukraine
Economic Cybernetics MSc
2021-2022
⭐ Master thesis: 'Modeling the investment portfolio of E-commerce companies':
◆ Twitter sentiment analysis of E-commerce stock tickers
◆ Stock prediction using Generative Adversarial Networks (GAN)
◆ Investment portfolio modeling (option hedge fund, stock portfolio prediction)
National Technical University of Ukraine
Economic Cybernetics BSc
2017-2021
⭐ Grade: 94/100
◆ Graduated with honors
◆ Bachelor thesis: 'Modeling an equity investment fund using financial derivative management and hedging strategies'
Projects and publications
MamayLM v0.1
Ukrainian/English
An efficient bilingual LLM with cutting-edge performance in Ukrainian and English.
SynthPAI: A Synthetic Dataset for Private Attribute Inference
NeurIPS D&B 2024
LLM generated collection of synthetic texts to ensure privacy-preserving research in area of private attribute inference benchmarking of Large Language Models.
LVE Project
Python
An open-source repository of Language Model Vulnerabilities and Exposures (LVEs).
Forecasting the stock prices using Generative Adversarial Networks and sentiment analysis of social networks
MDES 2022
Stock prediction using Generative Adversarial Networks; calculating technical indicators for stock price data and performing sentiment analysis on stock tweets.
Urban Planning project
Python, Typescript, HTML, CSS
A project for ETH Zurich course 'Interactive Machine Learning: Visualization & Explainability', spring semester 2023.
BirdCLEF project
Python, PyTorch, WandB
A project for ETH Zurich course 'AI4Good', autumn semester 2022.
Ensemble prediction of stock prices for portfolio modelling with hedging
Economic Bulletin of NTUU 'KPI' 2023
Bachelor thesis for the topic 'Modeling an equity investment fund using financial derivative management and hedging strategies'.