• Optimized formation flying drone’s reinforcement learning model in MATLAB and automated the compiling process in bash

• Developed Python test scripts to assess firmware integrity and streamlined regression testing for the V22 Flight Computer

• Wrote C driver and C# test tools for the V22 display, enabled rapid validation of mission-critical avionics functions

• Created stored procedures in the SQL server management studio to support program management’s staffing schedule

• Analyzed budget data to identify funding patterns affecting mission systems and internal resourcing strategies

• Took ownership of a NAV component within a Space Vehicle PNT system supporting autonomous operation

• Designed, developed, and delivered validation code to backfit legacy broadcast signals into the updated model

• Improved unit testing and automation for signal processing components, accelerating validation and reducing rework

• Built tools to analyze test data and extract navigation performance metrics in GNSS-degraded environments

• Collaborated with Raytheon to deliver code changes and supported on-site system integration at customer facilities

• Provided engineering expertise and support for Mission Planning on Ballistic Missile Defense and Anti Air Warfare Systems

• Produced tactical software code and collaborated with 100 software engineers using Jenkins and git in an Agile environment

• Supported unit and regression testing and ensured end-to-end workflow in each element within the Aegis Combat System

• Assessed, developed test plans and procedures to verify system requirements in Naval Combat System Engineering labs

• Built IoT based force sensing prototype cases used on US based Ultrasound Transducers for the GE Haptic Feedback Project

• Used C programs to measure and remotely communicate the force and the probe orientation during Ultrasound Exams

• Programmed front end UI that outputs a 3D force-based-color-changing probe graphics using MATLAB/Python

• Collaborated with Engineers, Architects and Industry Managers regarding AQSN (Air Quality Sensor Node)’s design parameters for the Bill & Melinda Gates Foundation’s project

• Acquired raw data gathered on the AQSN from prior experiments and developed method to output calibrated results

• Registered and integrated AQSN’s (air quality) data with the overall database through PostgreSQL

• Evaluated and troubleshot previous AQSN framework and identified options for sensor calibration

• Created and analyzed financial data for budgeting and forecasting through weekly reports