Summary
Daniel Karasek is a data engineer with nine years of experience who blends a strong academic foundation in mathematics, physics, and computer science with hands-on research in cybersecurity, bioinformatics, and computer vision. He builds production-ready data solutions (currently at Delta Community Credit Union) and has led projects from an edge-device inventory system using MobileNet-SSD on Raspberry Pi to a county-level COVID-19 visualization site he owns and maintains. His research work includes applying deep learning to live network data to detect anomalous behavior and scaling a random lasso implementation in Apache Spark for big-data feature selection. Comfortable switching between SQL backends, ETL automation, and ML research, he also writes about festivals and tech, reflecting a rare mix of analytical rigor and public-facing communication. Always curious and collaborative, he balances academic publication goals with practical product delivery.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Mathematics and Physics, Bachelor of Science (BS), Mathematics and Physics at Southern Polytechnic State University
Master's degree, Computer Science, 3.7, Master's degree, Computer Science, 3.7 at Kennesaw State University