Summary
Paweł Grabiński is a Generative AI Engineer with a decade of experience blending academic rigor in theoretical physics and data science with hands-on ML/AI product work. He has moved from research internships in high-energy physics and signal localization to shipping voicebots, low-code Python infrastructure, and generative model demos—recently deploying Ferret-based demos and building Pulumi providers for Salesforce Marketing Cloud. Comfortable across the model lifecycle, he combines NLU, dataset engineering, and deployment (Gradio, Hugging Face Spaces) skills with production ETL and IaC experience. Paweł tutors and writes about ML, signaling an ability to explain complex concepts and translate them into practical solutions. Based in Lower Silesia, Poland, he brings a researcher’s attention to detail together with a maker’s habit of shipping demos and integrations.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of Wrocław
Polish, English