Dresden Feitzinger Email & Phone Number

Maryland, United States

I apply machine learning to solve problems in real-time RF sensor networks such as wideband spectrum segmentation and waveform classification and anomaly detection (i.e., signals that don’t belong in a particular band). I also use reinforcement learning to enable autonomous spectrum sharing by leveraging insights from raw I/Q data and network and system metadata. Additionally, I am the lead software developer for a real-time field-deployable RF sensor that leverages machine learning and other techniques to make insights about the current state of the RF spectrum. Recently, my team and I have begun to leverage LLMs and Retrieval Augmented Generation (RAG) to develop an AI assistant for one of our products.

Cherry Hill, Nj

This was my second internship. I researched and facilitated advancement of RF spectrum protection and denial using machine learning and experimental digital signal processing.

Lititz, Pennsylvania

This was my first internship. I assisted in developing and updating web forms and MVC applications. Additionally, I helped integrate customer data insights into the platform by leveraging machine learning and statistical analysis.

Doctor Of Philosophy - Phd, Computer Science

I'm currently completing this degree part-time while working full-time at Peraton Labs. My advisor is Dr. Geoffrey Mainland.

Master Of Science - Ms, Computer Science

Bachelor Of Science - Bs, Computer Science

Minor, Mathematics