Summary
Marc Mailloux is a Principal AI Software Engineer with eight years of experience blending machine learning, systems engineering, and mechanical design to deliver production-ready AI solutions at Northrop Grumman. He specializes in time-series and RL applications—building LSTM and 1D-CNN→LSTM pipelines, custom RL environments, and an ML toolkit that streamlines prototyping through deployment with Docker and AWS. Marc pairs hands-on data engineering and MLOps (automated training pipelines, Optuna/HyDa hyperparameter tuning, and extensive experiment runs) with hardware-savvy skills from 3D printing, PCB work, and CAD that accelerate physical-digital prototyping. He has driven innovation programs, secured internal funding, and translated research into operational capabilities for geolocation, radar deinterleaving, and missile-type classification at scale. Based in Florida, he combines academic grounding in modeling & simulation with a practical habit of shipping reproducible experiments—over 10,000 RL experiments in one project—reflecting both depth and a bias for iterative validation.
8 years of coding experience
5 years of employment as a software developer
High School Diploma, High School Diploma at Palmetto High School
Associate's degree General Studies, Associate's degree General Studies at Valencia College
Master's degree Modeling and Simulation with a focus in Intelligent Systems, Master's degree Modeling and Simulation with a focus in Intelligent Systems at University of Central Florida
English