Position: Junior ML Engineer
Category: Data Science
English level: intermediate
Years of experience: 1.5

1/2 Final of The 2021 ICPC Southeastern Europe Regional Contest. 
Facebook Hacker Cup 2021 top 33% in Round 2.
KPI OPEN 2021 Final Contest - 15th out of 80+ teams.
ITalent 2019 Final Contest - 2nd place out of 50+ contestants.
Winner of local, regional and research works competitons.
Volunteering in Google Developer Student Club 2021 - shared experience through hands-on workshops, events
and articles.
My experience as a Deep Learning Intern at DataRoot Labs and a Data Science Intern has given me hands-on experience in building and training neural networks and working with data science libraries. I have also worked with various NLP models, such as RNN, LSTM, and Transformers, and have implemented projects to classify and analyze text data.

As a Junior Software Developer at Micro Focus, I have worked on the ALM Octane project, where I have designed and implemented new backend features and contributed to CI/CD plugins. I have also attended a Software Engineering School where you have learned about design patterns, SOLID & GRASP principles, DB optimizations, scaling, and caching. (Java, TypeScript)

My experience as a participant in the ideasLab Accelerator for Student Startups program has given you an opportunity to develop my startup idea and gain valuable business skills.

I have completed several projects, including ToxicBot, a Telegram chatbot that uses NLP and machine learning to detect hateful and offensive messages (TypeScript, ML), CookingPro, a web application that allows users to search for recipes (Python, FastAPI), and Mobile Robot, a research problem on robot navigation and object  collection (Python)
I hate doing boring projects :(