Experience & Education
Professional Experience
May 2025 - Present
Lockheed Martin
AI/ML Operations Analysis Intern
- Leveraging machine learning and AI to understand and improve the capabilites of Lockheed Martin's systems.
- Collaborating with engineering teams to integrate AI solutions into existing systems
September 2024 - Present
Hume Center for National Security and Technology at Virginia Tech
Undergraduate Researcher
- Engineering a scalable simulation testbed in Python using a custom-built Entity-Component-System (ECS) architecture to model UAS/C-UAS interactions with real-time 3D rendering using Python
- Integrating real-world sensor and flight data into a high-fidelity virtual environment to support future AI/ML-based decision logic, swarm coordination algorithms, and countermeasure evaluation
June 2022- August 2024
Air Force Research Laboratory
Software Engineering Summer Intern
- Utilized Unreal Engine 5, C++, and Blender to design simulations to test military equipment and research environments
- Created projects that model aerial refueling, moon exploration, and laser eye protection
- Worked with clients at NASA, RHDO (Optical Radiation Bio-effects Branch), and 711th Human Performance Wing
Education
August 2023 - May 2027
Virginia Tech
Bachelor of Science in Computer Science
- B.S. in Computer Science
- Related Coursework: Object Oriented Programming, Data Structures and Algorithms, Computer Organization & Programming, Discrete Math, Linear Algebra, Multivariable Calculus
- Involvements: VTHacks Organizer (Virginia Tech Hackathon), Science Olympiad at Virginia Tech
August 2019 - May 2023
Centerville High School
High School Diploma
- Graduated with a strong foundation in computer science and mathematics.
Skills
Programming Languages
- Java
- Python
- JavaScript
- C/C++
- Assembly
- HTML/CSS
- SQL
- MATLAB
- Unreal Engine
Frameworks & Tools
- Jupyter Notebooks
- React
- TensorFlow, PyTorch
- Node.js
- Flask
- Git
- Docker
- Virtual Reality Development
- SOLIDWORKS
- Blender