All My Projects

Developing a lightweight deep learning model for brain tumor segmentation using MRI data, aiming to enable on-device inference.

Pioneering the development of a Belarusian Large Language Model to promote the Belarusian literary heritage through advanced NLP.

Developed a full-stack AI assistant utilizing GPT-3, integrated with web technologies for interactive user experiences.

Engaged in a Kaggle contest to develop Machine Learning models for multimodal challenges, integrating diverse data types.

Created a database query tool for genomic research, contributing to a paper on its applications.

Conducted eco-diversity research at Belarusian State University, analyzing environmental data to assess biodiversity.

Explored metagenome research using Federated Learning and cloud computing to enhance data privacy and computational efficiency.

Utilized AlphaFold2 and Azure ML to predict Coronavirus glycoprotein structures, aiding COVID-19 research.

Analyzed COVID-19 data from a statistical and computational perspective, providing data-driven insights.

Participated in dementia research focusing on GWAS and pipeline building using Snakemake.

Developed `EesyFood`, a web application for food delivery services, leveraging FastAPI and Flask for a robust backend and user-friendly interface.

Created `Wat To Do`, a Telegram bot offering activity suggestions, using Python and the Telegram Bot API.

Built a Machine Learning project to predict chemical binding activity to the Beta-Amyloid protein, utilizing Scikit-learn and RDKit.