• Since 2017 I work as a data scientist.
• 🏢 My work experience can be found in my LinkedIn profile (Jakub Bartczuk).
• 🎓 I studied Theoretical Mathematics (BSc.) and Data Science (MSc.) at University of Wrocław.
• I am mostly focused on deep learning, especially for NLP and Computer Vision. I enjoy problems that go beyond straightforward supervised learning. Extending standard search engine methods is one of such problems.
• In the free time I like to tinker with opensource
• The languages I enjoy the most are Elixir, Lisps (Elixir is kinda a Lisp), Rust and Python.

• In deepsense.ai I worked on TrelBERT - Polish twitter BERT.
• 📰 NewsBERT is a RSS feeds information retrieval app that using huggingface transformers zero-shot learning feature.
• niph makes searching podcasts easier. The inspiration was Karpathy's transcription of Lex Fridman Podcast Currently tested with Lex Fridman podcast, but it also will work on transcriptions with similar format.

• 🔍 search huggingface models
• search Lex Fridman Podcast - searches on Andrej Karpathy's transcription site, can fetch precise link to timestamped entry

• symmetric deep dream - I added averaging over rotations to make deep dream more symmetric

cross-validated

• Demystifying UMAP - presentation for Advanced Data Mining seminar at University of Wroclaw.
• manifold learning rotation equivariance on raw pixel values - it seems like Isomap and UMAP partly preserve the rotational structure (for a given image, the closest image are the closest rotated one and its 180 rotation). These algorithms are not designed to do this!
• neural nets like it's 2010 but in modern framework... RBMs in Jax