Experienced in delivering production-grade software across the stack. Comfortable with everything from frontend interfaces to backend services and APIs.
Experience
January 2023 - January 2025Full Time
Software Engineer at General Motors
→Developed and optimized global software solutions to enhance fleet vehicle sales automation contributing to $26 billion in annual revenue
→Developed comprehensive unit and integration tests using xUnit Jest Mocha ensuring code quality and reducing production incidents.
→Implemented CI/CD pipelines (GitHub Actions Azure DevOps) to automate deployment and improve release cycles.
→Engineered front-end solutions across .NET MERN and Java tech stacks ensuring seamless alignment with UX/UI team specifications.
→Developed RESTful and GraphQL APIs enhancing integration with frontend applications and external services.
→Designed and implemented scalable micro-services using .NET Core Docker and Kubernetes improving system modularity and maintainability.
→Managed full lifecycle ownership of two critical enterprise applications driving key feature development maintenance and system performance improvements.
April 2021 - January 2023Full Time Internship
SCaN Intern at NASA
→Wrote scripts in Bash and PowerShell to aggregate data from Windows and Linux devices connected to the White Sands Test Facility's network with the goal of ensuring all devices were following baseline security measures.
→The PowerShell and Bash scripts enabled the IT Security team to decrease the time it took to perform compliance audits from 2-3 hours per device to 5-10 minutes for a batch of up to 100 devices.
→Created an object-oriented data mining and analysis program from scratch using Python.
→The Python tool was reworked in JavaScript HTML and CSS to provide more flexibility of use within NASA's White Sands Testing Facility's highly restrictive environment.
May 2022 - August 2022Internship
Software Engineering Intern at Google
→Assisted in training and fine-tuning Natural Language Understanding models using BERT for text classification tasks improving intent recognition accuracy.
→Worked with TensorFlow and PyTorch to experiment with CNN based image classification models optimizing hyper parameters to enhance model performance.
→Developed data pipelines for preprocessing and feature extraction which enabled smoother training and evaluation of ML models on large datasets.
January 2022 - December 2022Full Time Internship
Student at U.S. Army DEVCOM Analysis Center
→Developed a CAN Bus Visualizer that was capable of identifying the topography of a CAN Bus using the J1939 protocol and tap into the packets being sent across the network. The tool automatically decodes the packets and allows the user to manipulate replay and send custom packets across the CAN bus.
Education
2019-2022
The University of Texas at El Paso
Bachelors of Science in Computer Science with a Minor in Mathematics.