Summary
David Vadnais is an oceanographer and software engineer with five years of applied experience modeling satellites, radar, telescopes, and rockets and researching global ocean currents from shipboard ADCP, GPS, and gyro data. He combines a BS in Mechanical Engineering from Colorado School of Mines and an MS in Computer Science with hands-on expertise across DevSecOps, HPC optimization, signal analysis, and embedded/operational systems, having built CI/CD pipelines, containerized microservices, and real-time data feeds on research vessels. Comfortable in Python, C++, Fortran, Java, and MATLAB, he has implemented Kalman filters, Monte Carlo simulations, and neural nets for trajectory and detection problems while also supporting cloud-native stacks (Kubernetes, AWS, Grafana) for resilient deployments. He enjoys translating complex physical problems into robust software and tooling—standing up build servers, observability stacks, and orchestration for both research and defense contexts. Based in Honolulu, his profile blends oceanographic field operations with satellite/space systems modeling, and he’s also an avid rock climber who leverages new languages to expand his problem-solving toolbox.
5 years of coding experience
8 years of employment as a software developer
BS Mechanical Engineering, Mechanical Engineering, BS Mechanical Engineering, Mechanical Engineering at Colorado School of Mines
Master's degree, Computer Science, Master's degree, Computer Science at University of Colorado Colorado Springs
English