Position: ML Engineer
Category: Data Science
English level: fluent
Years of experience: 3


I am a first-year Computer Science and Mathematics student at Columbia University. I am interested in Natural Language Processing, Machine Learning, Data Analysis, and Software development.

I have co-founded and led Pravopysnyk, a project to create AI-powered grammatical error correction for Ukrainian, akin to Grammarly. As part of this project, I built custom NLP models for sequence generation and classification. I also developed the beta version of a real-time text editor web application using AWS, Flask, and Docker. The grammatical correction model we developed achieves a score of 66.3 on the UA-GEC benchmark by Grammarly and outperforms all existing models.

I also have extensive experience in data analysis and mathematical modeling. I competed at Columbia Mathematical Modelling Competition and International Competition in Mathematical Modelling to solve real-world problems. I also worked on data analytics as an intern at both Reply.io and CHCKR.io. Additionally, I have published research in Applied Physics and Mathematics in 11th grade.

I am excited to work on projects that leverage machine learning and data to achieve social impact or create new technologies.