Lockheed Martin
Jesse Reisner is an accomplished AI/ML Engineer Sr at Lockheed Martin since October 2025, with prior experience as a Machine Learning Engineer at Nauticus Robotics, Inc. from July 2021 to December 2024. Jesse's expertise includes detecting model drift, enhancing machine learning models, and developing MLOps pipelines, along with proficiency in converting TensorFlow models to PyTorch. Previous roles include a Software Engineer Intern and Research Assistant at The University of Texas at Austin, where Jesse collaborated on computer vision integration for face and eye tracking using Deep Learning and CNNs. Additional experience includes a Software Engineer Intern position at NASA, where Jesse developed a Python application for nuclear fuel element design optimization and briefed engineers at the Marshall Space Flight Center. Jesse holds a Master of Science in Computer Science from the Georgia Institute of Technology and a Bachelor of Science in Mechanical Engineering from The University of Texas at Austin.
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