ITS-EASY WebsiteLed a team of 5 individuals to develop a collaborative issue tracking website tracking issues for the entire testing phase for multiple spacecrafts using ReactJS, Redux, NodeJS, and MongoDBInnovated a dynamic, metadata-driven UI which provided over 12 different UI configurations servicing over thousands of users across Lockheed Martin Space CompanyOversaw the development of an in-house custom reusable React component library Set up CI/CD pipeline using GitLab and Docker and automatically deployed on the cloud serversReduced issue resolution time by streamlining problem identification and prioritization and improved visibility into key spacecraft metrics, ultimately decreasing resolution time by 20%Technical Lead, Customer Liaison, and Scrum Master for the team in an Agile driven environmentLogbookSpearheaded the development of a real time messaging web tool utilizing WebSockets that allowed engineers to provide critical real-time status updates to every team during live testing of the satelliteOptimized the website to support thousands of concurrent users, handling over 100,000 API requests per week, efficiently storing and displaying more than 200,000 messages, and ensuring minimal latency in message delivery through carefully architected sharding techniquesInitiative reduced time spent in the testing chamber by approximately 10% as productivity increased across all Electrical, Software, and Mechanical teams

Inflight Target Recognition* Part of one of the first teams in Lockheed Martin that developed a target recognition system that could accurately recognize 3 objects using various Machine Learning algorithms* Developed in C++ and Python on an embedded platform and flown on a small aircraftStalker XE Hardware Integration* Installed a GPS Antenna to the Stalker XE Vehicle that would communicate coordinate information to the vehicle’s computer using Python, allowing the vehicle to be tracked and fly out of sightCognitive Radio System* Extracted RF signal characteristics from spectrogram images using Python and OpenCV which would be used as training data for Machine Learning classification algorithms* Developed C++ code to dynamically tune a software defined radio to collect IQ data at frequencies of interest

* Aided another student in understanding advanced concepts on p-n junctions, MOSFETs, and BJTs

• Created data analysis models to forecast sales growth, exposing important sales trends• Evaluated market transaction trends and strategized methods for future gross margin growth, thereby minimizing losses in revenue from overspending• Improved overall allocation of company budget to compensate sales representatives more fairly

• Remodeled outdated AutoCAD railroad track layouts according to recent 2D mappings of local areas thereby providing more accurate and easy to read AutoCAD templates for the entire company