Marek Paulik
Machine Learning Developer, Adastra
Bio
I’m a Data Scientist with a strong background in Mathematics and Statistics. My main areas of expertise are machine learning and deep learning, with a special focus on Computer Vision, Natural Language Processing (NLP) and Generative AI.
In the field of Computer Vision, I’ve played a major role in creating a product that uses deep-learning models for medical image classification. This project included working on multiple models, developing an API for results, and interacting directly with medical experts. I also have experience in text extraction from scanned documents across multiple languages. I’ve worked on optimizing runtime for this large-scale project, leading to cost savings on AWS.
On the NLP side, I’ve built a tool for summarizing and identifying links between knowledge and skills from educational course descriptions for a US startup. I’ve also created custom Named Entity Recognition (NER) models to extract different types of metadata from PDF documents, deploying these models on AWS Sagemaker.
Lately, I have participated in multiple projects leveraging LLMs. I have developed RAG production systems as well as autonomous agents.
I enjoy problem-solving, finding efficient ways to use technology, and always aim to achieve meaningful results. I’m interested in opportunities that challenge me to expand what’s possible with data and technology.
For more detail check description of the projects in individual job experiences.
Sessions