• Led major UAV integration an airborne-sensor control interface and real-time data exploitation system that maximizes operator situational awareness and minimizes information overload• Curated and oversaw development of operator’s handgrip workflows, making mission-critical functionality efficient to use while negotiating safety requirements to deliver novel laser capability• Designed and implemented a generalized airborne-sensor control ibrary (C++) and API that reduced interface development effort by 75% of various sensors, including fielded radars and cameras• Advanced mission system's multi-threaded automated parametric alerting software (C++) to include track and signal data and built a new querying architecture that allows operators to search previous missions• Advocated for, assembled and tested a C++ library and API that encapsulates automated parametric alert processing, leveraged immediately by another team to keep their delivery on schedule• Scoped and engineered mission system's C++ MISB 0903.4 detection correlator for a 90-day iteration cycle, enhancing the system's real-time data fusion capability to include object-level image classifications• Conceptualized and prototyped a C++ weather data ingest system that helps UAV operators avoid grounding weather, lengthening time in the air and combating obstructions caused by cloud cover • Managed a team over an aggressive 90-day sprint that prototyped three major experimental capabilities in support of a highly visible multi-vendor demonstration, the result of which would determine future program funding

• Independently debugged GUI freezes and implemented fixes to decrease image querying times, which involved fixes on Java frontend and C++ backend resulting in a query that is 2.1 times faster• Improved the speed of C++ Keyhole Markup Language import library by introducing a cache that reduced OS file structure traversal, speeding up import by 83% and enabled operator mission-journaling• Developed a testing application using scripting and C++ that verified radar control, allowing synced integration status across vendors helping diagnosis bugs earlier and create checkpoints for stakeholders• Implemented system-wide C++ JSON serialization of mission system's data model, which required updating over 500 classes and enabled lightweight sharing of mission data in real-time to external vendors • Researched, designed, and implemented a real-time track prioritization prototype that accounted for aircraft geometry, sensor limits and mission goals to help operators more efficiently investigate an area• Extended an open-source data graphing library to better fit the needs of the sensor integration team by implementing intuitive shortcuts and live data streaming reloads• Trained operators, debugged problems in flight, and tested software patches as the mission system's primary in-flight tester during time-sensitive and strategically important government sponsor flights

• Gather requirements and implemented a water runoff cataloging ExtJS/C# application used during federal government audits• Translated a COBOL-written batch process used to scrape sensitive data to an object-oriented C# design