- researching, developing and fine-tuning NLP models -LLMs and other Transformer architecture- creating local search engines (RAGs)- implementing ML models as services- prompt engineering and LLM application in differentstages of data gathering and processing- preparing ontologies, knowledge bases and developingdata annotation processes- managing team workload- liasing with the Executive Team- managing a project (end-to-end) of the medicalchatbot… Show more - researching, developing and fine-tuning NLP models -LLMs and other Transformer architecture- creating local search engines (RAGs)- implementing ML models as services- prompt engineering and LLM application in differentstages of data gathering and processing- preparing ontologies, knowledge bases and developingdata annotation processes- managing team workload- liasing with the Executive Team- managing a project (end-to-end) of the medicalchatbot creation (planning, research, deployment) Show less

- developing Machine Learning algorithms for NLU ine-commerce chatbot pipeline- developing language models based on transformerarchitecture- deploying Machine Learning models with AWS- supervising models during production- preparing ontologies, knowledge bases and developingdata annotation processes- ML approach for semantic search based on retrievalmodels and its usage for search engines- implementing ElasticStack and perfecting its ability tosearch

• Using deep and non deep learning methods for intention and purpose classification ( e.g. BERT, W2V, FastText, SVM) • Vectorized texts clustering (BERT) • The research and implementation of vectorisers (W2V, FastText, Glove) • Tools Implementation for searching distances between texts using statistic methods (e.g. BERT, TF-IDF, W2V) • The research and implemantation of keyword extraction techniques (TextRank, TF-IDF) • Preparation of the tool to analyze the… Show more • Using deep and non deep learning methods for intention and purpose classification ( e.g. BERT, W2V, FastText, SVM) • Vectorized texts clustering (BERT) • The research and implementation of vectorisers (W2V, FastText, Glove) • Tools Implementation for searching distances between texts using statistic methods (e.g. BERT, TF-IDF, W2V) • The research and implemantation of keyword extraction techniques (TextRank, TF-IDF) • Preparation of the tool to analyze the duplicates amongst the texts • Building supervised algorithms to rate rankings • Preparation of analyzes that extract features (e.g. Shapley) • Preparation and analyzes of text datasets • Scrapers creation ( Selenium, Scrapy) Show less

- researching, developing and deploying Machine Visionalgorithms- programming control systems in Python and Clanguages- preparing reports and creating technicaldocumentation- developing control systems based on sensors fusion

Sales optimization project for one of the largest grocery chain stores in Poland:• Consumer shoping habbits analyzing• Sales forecasting