I am a computer science student at Texas A&M University pursuing a minor in cybersecurity and mathematics, with a 3.96 GPA and Dean’s List recognition. As a Software and Cybersecurity Engineering Intern at Lockheed Martin, I architect and develop C++17 and Python emulators for real-time embedded HWIL regression testing, reducing hardware overhead by approximately 40%. My projects span systems programming, machine learning, full-stack development, robotics, and computer architecture. I have built a Rust Sudoku solver using exact cover and Dancing Links, fine-tuned computer vision models for deepfake detection, developed a full-stack ordering platform, contributed to rover communications, and led a three-person team building a sequential 64-bit x86 CPU. I bring strong problem-solving, ownership, and collaboration skills developed through engineering projects, competitive coding, leadership, and supporting myself through college as a carpenter. I enjoy tackling technically challenging problems and turning complex requirements into reliable, efficient software.
Experience
Software and Cybersecurity Engineering Intern
Lockheed MartinJun 2026 – Present
I architected and developed an emulator with interface control documents (ICDs) for real-time embedded HWIL regression testing. I implemented JSON-configured interfaces that reduced hardware overhead by approximately 40% and improved interprocess communication through factories supporting varying runtime types and sources within a small memory buffer.
Education
Bachelor in CS with Minor in Cyber & Math, Computer Science; Cybersecurity and Mathematics
2023 – 2026
GPA 3.96; Dean's List
Relevant coursework: Operating Systems, Machine Learning, Reverse Engineering, Computer Organization, Computability Theory, Data Structures and Algorithms, Discrete Computing, Linear Algebra, Statistics/Probability, and Multivariate Calculus.
Skills
Languages
- English
- Native or bilingual proficiency
- Spanish
- Limited working proficiency