Bachelor of Science in Computer Science
University of Colorado Boulder
Education
University of Colorado Boulder
Computer science foundations, from systems and algorithms to AI and entrepreneurship.
Core & Advanced Topics
- Startup Essentials (Capstone): Led team to build and pitch a full-stack MVP.
- Operating Systems: Process management, memory, and concurrency.
- Future of Programming: LLMs?: Explored LLM impact on software development.
- Intro to Artificial Intelligence: ML, neural networks, and search algorithms.
- Computer Graphics: 3D rendering and simulations with OpenGL/C++.
- Object-Oriented Analysis & Design: Implemented key design patterns.
- Cognitive Science: Modeled cognitive processes with AI/ML principles.
Data & Development
- Intro to Data Science: Probability, statistics, and predictive modeling in Python.
- Database Systems: Relational/non-relational design, SQL, query optimization.
- Software Development Methods: Agile, teamwork, and web app development.
- Universal Design for Digital Media: Accessibility in digital interfaces.
Foundations
- Algorithms: Sorting, searching, graph traversal, and complexity analysis.
- Data Structures: Implemented core data structures in C++.
- Computer Systems: Memory allocation, instruction execution, and hardware interaction.
- Principles of Programming Languages: Functional/OOP paradigms and interpreters.
- Starting Computing: C++ fundamentals and project-based learning.
I have also begun graduate-level studies focused on autonomous systems for space exploration. These studies are currently on hold.