As a Software Engineer at Anomali, I apply my Python skills to develop and deploy efficient and innovative solutions for threat intelligence and attribution. I spearheaded the migration of a complex production codebase from Python 2 to Python 3, resulting in significant performance enhancements and the incorporation of cutting-edge features. I also developed and deployed a highly efficient intelligence scraping engine, exceeding project timelines and customer expectations.I hold a Master of Engineering degree in Software Engineering from Queen's University Belfast, where I published a novel framework for lightweight and automated attack attribution using fuzzy hashes as natural language input for machine learning classifiers, achieving an average accuracy and F1-score of 89% and 87.5% for country and APT group classification, while significantly reducing processing time compared to existing solutions. I am passionate about tech innovation, with a knack for hands-on projects, and fluent in Polish and English. I am interested in motorbikes, Japanese cars, hiking, and camping.