• Language Researcher at AWATERA (June 2023 – present)


• Natural language processing
• Research in large language models (LLM), such as GPT and its analogs
• LLM study and comparative analysis
• Prompt engineering
• Using LLMs for language translation and editing
• Experiment design
• Data analysis and machine learning
• Patent search and patent applications



• Pet projects (2020 – May 2023):


• Training a neural network to distinguish between human translation and machine translation
• Predicting oil and gas production
• Recovering a function from a scanned plot
• Kaggle competition. Uplift modeling — predicting which customers will buy a product if and only if they receive an SMS, i.e. those who won't buy unless they receive an SMS.
• Statistical analysis of usage of phrases in Google Books
• Prototype of a recommender system
• Forecasting bank client churn
• Airbnb price prediction
• Image classification: uninfected cells and cells parasitized by malaria
• Testing the validity of Zipf's law
• More


• Previous experience: translator and interpreter

Skills

Higher education: Faculty of Physics, Moscow State University. Degree: diploma of higher education (equivalent of Master of Physics).

Data Science reskilling course. Tomsk State University.

Achievements:

• I was the first to complete training out of ~160 students
• Students learning faster presented their projects to other students to help them progress on the course. I presented four projects ouf of 16
• As a top student, I also checked other students' graduation projects (normally done by staff)