♦ As part of the Trans-Pacific Scaled Agile Framework (SAFe) team, contributed to the design and development of a Computational Fluid Dynamics high-performance computing (HPC) process management application. Technologies: Python, Java, BASH, Hadoop, MongoDB, RHEL Linux, Oozie, Jenkins, pytest, GitLab CI/CD, PyCharm, VSCode, Openshift Platform, Docker, jUnit♦ Drove the team transformation to an open source-based documentation framework within GitLab pages, shifting from single contributor per project to unified team and user involvement, which improved change management, content contribution, adaptability, and accuracy. Technologies: GitLab Pages, GitLab CI/CD♦ Took ownership of unsupported legacy Linux deployment scripts, identified and refactored functional issues and bugs, implemented various improvements, and supported ongoing usage, reducing deployment time and challenges by 75%.♦ Led a new business opportunity for the HPC application, which fulfilled an aspect of an unrelated enterprise system projected to save $6B for the 777x program, by defining the opportunity, prototyping an MVP, and demonstrating success.♦ Upgraded from manual deployment of the HPC app, which required 4-6 hours per hierarchy deployment (test servers, quality assurance server, pre-production server, production server), to GitLab CI/CD automatic deployment on an RHEL Openshift enterprise cloud platform, which reduced time per hierarchy deployment to 1-2 hours.♦ As team lead, developed pytest framework solutions to achieve an initial 6% coverage of untested legacy Python code base and enabled the team to achieve a 20% milestone and commit to future test-driven development (TDD) practices.♦ Researched, tested, and defined a prime solution for a C++ JSON serialization library implementation for a Boeing proprietary Geometric Aerodynamic Analysis application. Technologies: C++, Python, GoogleTest, pytest, GitLab CI/CD, Jenkins, Docker, Ansible

♦ Successfully demonstrated technology that fundamentally changed the 787 and 777x production line build processes.♦ Implemented the software and functionality design of a prototype mobile metrology robotic platform with Leica metrology equipment to perform surface line scanning and utilize metrology principles to collect flight critical surface measurements on full-scale 777x wing spars. Technologies: Metrolog !Robot, Python, SIMOTION, NI LabVIEW♦ As team lead, tested and researched the novel system integration and operational programming with a test first paradigm and defined the programming standards and collaborative workflow (GitLab) for the six-member programming team.♦ As part of an Agile team, supported feature implementation and iterative user experience (UX) design for a novel application, which utilized metrology data of airplane parts, to predict future part assembly fit and voids to design and manufacture custom CNC shims for multiple airplane programs, which reduced build workflows from 1-4 days to less than 1.5 days and was credited with saving billions of dollars over program lifetimes. Technologies: NI LabVIEW, GitLab♦ Implemented the software and functionality of a prototype mobile NC drilling platform with a FANUC LR-MATE tool change system to demonstrate the application of a mobile (AGV) hexapod CNC platform to drill and fasten underside wing panels for the 777x airplane, which validated future build processes. Technologies: FANUC, SIEMENS NC, Python, C#♦ Implemented the controls software and functions for a fleet of prototype mobile flexible fixture machines to carry, maneuver, and manipulate wings and other full-scale airplane parts. Gained in-depth knowledge in electrical cabinet design and build, mechanical axis automation and motion control, and SIEMENS network communication protocols.

Manufacturing Engineer • Boeing Company, Everett, WA

◆ Led the digital transformation to a suite of web-based applications by collaborating with contractors and incorporating User Experience (UX) feedback and on-site empirical evidence. This reduced on-site user wait times by 90% and increased service capabilities to manage 60,000-80,000 participant events. Technologies: HTML, SQL◆ Migrated a manually operated, unsupported, legacy MS Access database into an automated and feature rich MS Access application with graphical user interface (GUI) and data correction tool suite. Technologies: Visual Basic for Applications (VBA), SQL, Microsoft Access◆ Successfully reduced event preparation workload from 40-60 hours to 2-5 hours with automated data importing macros, data validation and cleaning tools, and automatic web posting for integration to web-based components.