Hi, I'm Michał Żarnecki - a programmer, machine learning specialist, and educator. I build data-driven systems using Python and PHP, with a strong focus on natural language processing, LLM applications, AI agents, and modern web-based technologies. My work combines machine learning and software engineering to deliver practical solutions to real-world business problems. On this website, you can explore selected projects, technical work, and recent professional activity.
Prepared video lecture on ML Models in Applications for University College of Professional Education in Wrocław. Lecture presents the practical…
read_more()I designed and introduced a suite of AI agents implemented as Claude Code skills, configured to run automatically each day…
read_more()Prepared and recorded a video lecture on using ML in practical analytical tasks for University College of Professional Education in…
read_more()I prepared an internal LLM API Gateway for CompanyHouse to unify the use of different language models across the company…
read_more()Course for Collegium da Vinci University: Advanced Artificial Intelligence I had the opportunity to prepare and deliver the Advanced Artificial…
read_more()I recently prepared and recorded a video lecture on time series analysis and forecasting for University College of Professional Education…
read_more()In this project, I designed and introduced an MCP-based integration layer for the development team, connecting everyday engineering tools directly…
read_more()The course “Creating LLM Applications and AI Agents. Video Course. Learn the LangChain and LangGraph Libraries” is a practical guide…
read_more()Implemented a collection of tools that represent different strategies for evaluating LLM responses in most popular PHP AI/LLM framework LLPhant.…
read_more()In this project I built a pipeline that transforms raw corporate‑registry filings into an interactive ownership‑tree dossier. This approach helps…
read_more()In this project I designed pipeline that converts raw financial statements and company data into a fully formatted credit-rating dossier.…
read_more()ConFoo 2025, held February 26-28 in Montreal, Canada. ConFoo.ca is a premier multi-technology conference for developers that brings together international…
read_more()During my talk I shared the journey of building a system that maps unstructured company descriptions to official industry codes…
read_more()System for identification of similar companies and competitors based on company description text, texts from company websites, coordinates, industry tags,…
read_more()Solution for multi-class and multi-label classification of unstructured texts containing company descriptions categorized into over 1800 classes (WZ 2008), using…
read_more()Lecture: Classifying unstructured texts into 1800 categories!Problem: In this presentation, I will examine the development of a text classifier created…
read_more()The course familiarizes participants with aspects of generative artificial intelligence and the latest achievements in the field of natural language…
read_more()Lecture: Retrieval Augmented Generation – replace complex logic with a text modelAbstract: Have you ever encountered code with so many…
read_more()https://chat.companyhouse.de/ AI-based chatbot for retrieving reliable, up to date and precise information about companies.Chatbot is based on streamlit framework and…
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