Position: Machine learning engineer
Category: Data Science
English level: intermediate
Years of experience: 2.5


As a dedicated and skilled NLP/ML Engineer, I am excited to explore new opportunities within an innovative team. With a bachelor's degree in Computer Science and Computer Engineering, I possess a solid foundation in programming and creative problem-solving.

During the past four years, my expertise has grown significantly, with a strong focus on Python programming. Notably, I completed a year-long internship with an R&D NLP team, tackling complex challenges. This hands-on experience enabled me to master various NLP techniques and models including BERT, LSTM, RNN, Catboost, and word2vec.

My background also encompasses six months of developing crawlers in .NET and Python, enhancing my data engineering skills and proficiency in handling diverse file formats.

Presently, I serve as a Machine Learning Engineer at Polixis, concentrating on NLP projects. Within this role, I contribute ML models to address intricate internal business concerns within the bank compliance domain. This includes tasks like binary text classification, multi-label document classification, NER, and target-based sentiment analysis. I actively participate in the entire data science life cycle, collaborating with assessors and deploying comprehensive solutions.

My ambition remains rooted in the NLP field, and I am excited to undertake new, captivating challenges. Having recently relocated to Armenia, I eagerly seek a dynamic team where I can apply my skills to solve intricate NLP problems.