Karolina Kelkel

I am a motivated Python Developer with practical experience in collecting, cleaning, and structuring real-world data for AI applications. My skills include web scraping with Python, pandas, and PostgreSQL, and I am familiar with tools like FastAPI, BeautifulSoup, and Docker. I am passionate about ethical data workflows, feature engineering, and automation, and I am excited to contribute to NLP and generative AI initiatives through clean, reliable, and well-documented data pipelines.

One of my notable projects is the 'Save-time-on' YouTube CLI Summariser Tool, which processes YouTube video content into concise summaries. This personal CLI application downloads audio, extracts .wav files, transcribes them, and summarizes the content using the OpenAI API. The project emphasizes modular design for readability and scalability, and it includes built-in validation for YouTube links and clear logging for transparency. I take pride in creating structured documentation that guides users through setup and usage.

My educational background includes training at École 42 in Paris, where I honed my coding skills in a peer-to-peer environment focused on autonomy and collaboration. I also pursued a Bachelor of Science in Computer Science at EPITA, where I studied Python, software architecture, and computer networks. My diverse interests in elegant code design, AI, and data science, combined with my background in creative professions, foster a love for structure and beauty in code.