Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 4


I live in Mexico. The time difference between Kyiv and Mexico is 9 hours. 

With a strong background in Machine Learning and Natural Language Processing (NLP), I have gained extensive experience in developing advanced systems and models. As a Machine Learning Engineer, and I have successfully worked on recommendation systems, leveraging hybrid approaches such as Wide and Deep, Content-based, and ALS. My expertise extends to handling big data using technologies like PySpark. Additionally, I have contributed to the field of sentiment analysis and emotion detection, developing systems with the help of PyTorch, scikit-learn, transformers, and statsmodels. I experience also encompasses hierarchical classification, where you have designed models to classify and analyze multilingual inputs. I deployed these systems as Docker microservices using the FastAPI library.

In my previous roles, I demonstrated proficiency in tackling various NLP challenges. As a Machine Learning Engineer and Data Scientist, I developed user recommendation systems, scoring mechanisms, and anomaly detection systems using tools such as SQL, PyTorch, scikit-learn, and statsmodels. Moreover, I worked in data parsing and preprocessing for PDF documents and unstructured texts, which involved gathering, processing, and analyzing marketing campaign data. I have expertise in developing text classification, sentiment analysis, text summarization, and emotion detection pipelines using technologies like Pandas, PyTorch, transformers, and statsmodels. Furthermore, I extended my capabilities to the domain of Computer Vision by designing models to retrieve and summarize text chunks, including parsing dates and locations. Throughout my experiences, I have worked with frameworks like Flask, PyTorch, transformers, and statistics to enhance text filtering, classification, and analysis.
I am looking for a long-term stable job with a friendly, open-minded team.  I'm ready for new challenges and interesting projects.