I am Michał Bariła, a junior data scientist with a Master’s degree in Engineering and Data Analysis from Lublin University of Technology. I gave a lecture on Variational Autoencoders at MAIÓWKA, a scientific festival about artificial intelligence, which took place at Maria Curie-Skłodowska University. My notable project is about AI models called Autoencoders, with a focus on image compression. I also developed a data generation project using GAN models and performed segmentation using UNET models, as well as anomaly detection with VAE and AE.
During my internship I developed a Retrieval-Augmented Generation (RAG) system using LlamaIndex to chat with 1,300 medium articles based on LLMs. I developed and trained a retrieval model with contrastive learning to identify and extract relevant text chunks from a ChromaDB vector database. I am familiar with the approaches presented in Style-Based Generator Architecture for Generative Adversarial Networks and Attention Is All You Need, among other important papers. Additionally, I worked as a Data Science Freelancer analyzing Czech language event descriptions.
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