Summary
Glenn Mossy is a Sr. Machine Learning Engineer and AI Solutions Architect with 12 years of experience building production ML systems for defense and enterprise customers. Based in Maryland, he leads Generative AI and agentic AI efforts at Booz Allen Hamilton—automating ETL and MLOps pipelines on Databricks/AWS and deploying models with TensorFlow and PyTorch to deliver actionable insights on the DoD Advana analytics platform. He brings a hardware-to-cloud perspective from a BSEE and hands-on experience in embedded systems, SDN, and rapid prototyping, and he teaches electronics, Arduino, and 3D printing as an adjunct instructor. A lifelong tinkerer and educator, Glenn pairs formal graduate coursework (Johns Hopkins, MIT data science) and nanodegrees with practical skills in Python, PySpark, NLP, and CNNs to bridge research and operationalization. He’s known for establishing “Data Science as a Service” offerings for customers and for exploring LLMs and generative solutions that augment analyst workflows.
12 years of coding experience
34 years of employment as a software developer
Nanodegree Machine Learning Engineering, Nanodegree Machine Learning Engineering at Udacity
BSEE Microcomputers, BSEE Microcomputers at Louisiana Tech University
Advanced Mathematics, Advanced Mathematics at Mississippi College
Graduate Computer Science and Telecommunications Engineering, Graduate Computer Science and Telecommunications Engineering at Johns Hopkins Engineering for Professionals
MIT Micromasters DataScience, MIT Micromasters DataScience at Massachusetts Institute of Technology
Graduate Computer Science coursework, Graduate Computer Science coursework at University of Maryland
English