Hi! I'm Eve Grace, and I'm a

developer.

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About Me

I’m a tech enthusiast from Chicago, currently based in Colorado Springs. I’m pursuing a B.A. in Computer Science with a minor in International Relations at Colorado College.

My current interests lie at the intersection of technology and global affairs—especially in the field of cybersecurity, where I get to combine my love of puzzles, algorithms, and problem-solving with real-world impact. I love exploring how emerging technologies shape global affairs, and I'm interested in discovering how digital security shapes international policy, privacy, and innovation.

I'm proficient in Java, C#, and Javascript (among other languages) and I’m always excited to learn new tools and frameworks. I'm currently seeking opportunities to grow through internships, mentorship, and collaboration in tech.

I love building creative projects that combine design and technology. Outside of coding, you can find me training on the ice, exploring the outdoors, or hanging out with friends. Currently, I'm an active member of Colorado College's local sorority Delta Mu, the Career Center, and our Collegiate Figure Skating team.

My goal is to bring thoughtful design into everything I do — whether that’s a skating routine, a personal project, or collaborating with a team.

Skating photo of me Hiking photo of me Waterfall photo of me Friend photo of me

Projects

Predator-Prey Neural Network

Built two C# neural networks to model predator-prey dynamics between a lynx and a hare. Applied reinforcement learning strategies to optimize hunting and survival behaviors, achieving top 25% performance in class comparisons.

Virtual Reality Headset

Developed a custom SteamVR-compatible VR headset using a Raspberry Pi display and a 3-axis gyroscope/accelerometer. Implemented Arduino-based motion tracking and designed a lightweight housing to deliver immersive, low-latency experiences.

ML Image Classification

Implemented an image classification system using Python, TensorFlow, Pandas, and NumPy. Trained machine-learning models to recognize and categorize images, optimizing accuracy through data preprocessing and model tuning.