Melanie Forbes is a Cloud Architect and software engineer with nine years of multidisciplinary experience blending mechanical engineering, robotics, and cloud-native systems. Based in Sterling, VA, she designs and implements AWS ECS/EKS infrastructure and DevSecOps pipelines while applying C/C++ and Python expertise to ML, computer vision, and control-system problems. Her background in finite element analysis, materials testing, and digital image correlation gives her an uncommon ability to bridge physical-system validation with AI-driven software solutions. She has hands-on robotics experience integrating ROS, SLAM, and OpenCV from academic projects and early-career lab work, and she brings that systems-thinking to defense-oriented cloud architectures at VTG. Colleagues rely on her to translate rigorous engineering requirements into auditable, production-ready cloud deployments that support intelligent systems.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Mechanical Engineering, Latin, Physics, Bachelor of Science (B.S.), Mechanical Engineering, Latin, Physics at University of Wyoming
Associate of Science - AS, Engineering, Associate of Science - AS, Engineering at Northern Virginia Community College
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at George Mason University
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