I'm a Computer Science student at Kennesaw State University, passionate about software development, machine learning, and building innovative projects. I love coding in multiple languages and enjoy contributing to both academic and personal projects.
Languages:
- Java, Python, C#, C++, SQL, JavaScript, TypeScript, Go
Frameworks:
- React, Node.js, Express, JavaFX, Swing, OpenGL
Libraries:
- pandas, NumPy, Matplotlib, PyTorch
Developer Tools:
- Neovim, Git, VS Code, Visual Studio, PyCharm, IntelliJ, Postman
A robust convolutional neural network (CNN) designed to differentiate between bagels and donuts. Implemented transfer learning to reduce training time by 30 hours and optimized the network to achieve high accuracy on validation sets.
Built a compiler in Go, converting raw source code into tokens using a lexer, parsing them into an Abstract Syntax Tree (AST), and generating optimized machine code through an intermediate representation (IR).
Developed a neural network from the ground up using Python and NumPy, implementing forward and backward propagation to achieve over 95% accuracy on validation datasets.
- Compiler design in Go
- Advanced algorithms and data structures
- AI & machine learning techniques
- Email: [email protected]
- LinkedIn: linkedin.com/in/robertlmccrary
- GitHub: github.com/RobertLMcCrary
Feel free to check out my repositories, open issues, or collaborate with me on projects!