Implemented a custom NLP pipeline for analysis and comparison of legal documents. Used text preprocessing techniques and Woed2Vec embeddings, resulting in a 50% reduction in processing time (NLP, Python, Pandas, Scikit-learn, Matplotlib).

- Developing a prototypes of computer vision systems such as face recognition system and cashierless store. Contributing to create software architecture from a scratch. - Researching, developing and testing models for solving various computer vision problems. Creating visualizations to communicate findings. - Implementing the models in the commercial products.- Collecting and processing datasets.- Developing software to markup datasets, calibrate cameras, transfer coordinate system, etc.

I've been working on my dissertation project: 'Modeling energy distribution of cool dwarfs in the optical and near-infrared'. My work has helped to constrain and to improve the methodology of determination of the physical properties of cold stars (M dwarfs).