Master of Science (M.S.) in Computer Science | University of Illinois Urbana-Champaign, Grainger College of Engineering, Siebel School of Computing and Data Science (August 2025 – December 2026)

Graduate Studies: Deepening Systems Expertise Through Advanced Coursework

• University of Illinois Urbana-Champaign: Grainger College of Engineering, Siebel School of Computing and Data Science, ranked among the top five computer science programs in the nation

• Academic Performance: Maintaining a 3.87/4.00 GPA across the program

• Systems & Architecture:

  • Computer System Organization

  • Parallel Computer Architecture

  • Operating Systems Design

• Compilers & Languages:

  • Compiler Construction

• Databases & Data Analysis:

  • Database Systems

  • Introduction to Data Mining

  • Computer Systems Analysis

• Computer Graphics:

  • Interactive Computer Graphics

• Numerical & Computational Methods:

  • Numerical Analysis

  • Iterative & Multigrid Methods

The University of Illinois Urbana-Champaign, a Big Ten institution and top public research university, is home to the Grainger College of Engineering's Siebel School of Computing and Data Science, ranked the #5 Computer Science graduate program in the nation by U.S. News & World Report, and widely regarded as one of the most selective and rigorous programs in the country.

I am pursuing my Master of Science in Computer Science at the University of Illinois Urbana–Champaign (UIUC), part of the Grainger College of Engineering's Siebel School of Computing and Data Science. My graduate studies focus on systems architecture, compiler design, databases, computer graphics, and numerical computation. These are areas that demand both deep theoretical knowledge and practical application. This work builds directly on my undergraduate foundation, strengthening my ability to design scalable architectures, optimize performance across the software and hardware stack, and apply advanced numerical and computational methods to real-world engineering problems.

I've been able to put this training into practice directly: during my internship at Boeing, I applied my compiler-construction coursework to design and build a system that parses structured test documents into executable automated test scripts for a real-time flight simulator. This was a direct, tangible link between graduate coursework and professional engineering work. By combining rigorous academic training with hands-on industry experience, I'm developing the expertise to contribute effectively in demanding, performance-critical engineering environments.

Education: Blending Technical Depth with Creative Exploration

• University of Wisconsin-Madison: Graduate of the School of Computer, Data & Information Science

• Academic Excellence: Graduated in Three Years, Magna Sum Laude, with 3.98/4.0 GPA and consistently recognized on the Dean's List.

• Advanced Placement: Entered the University with advanced standing, demonstrating a strong foundation in core subjects.  

• Computer Science Fundamentals:

  • Object-Oriented Programming (OOP)

  • Data Structures and Algorithms

  • Runtime Complexity Analysis

  • Advanced Algorithm Design (Greedy, Dynamic Programming, Network Flow)

• Computer Engineering and Operating Systems:

  • Virtual Address Space and Memory Management  

  • Compiler Design and Implementation  

• Computer Graphics:

  • GPU Rendering Pipeline and Optimization

  • 3D Procedural Mesh Generation with Compute Shaders

• Mathematics:

  • Linear Algebra and Discrete Mathematics

  • Numerical Methods for Problem Solving

  • Advanced Calculus (Multivariable and Vector Calculus)  

• Game Design Certificate:

  • Game Mechanics and Level Design  

  • Interactive Storytelling and User Interface (UI)/User Experience (UX) Design  

  • Playtesting and User-Centered Design

The University of Wisconsin-Madison, a Big 10 institution, boasts a School of Computer, Data & Information Sciences consistently ranked among the top Computer Science programs in the United States by U.S. News and World Reports.

I graduated in May 2025 with a Bachelor of Science degree in Computer Science, having completed the rigorous 4-year program in just 3 years due to Advanced Placement (AP) credits. I maintained an exceptional 3.98/4.00 Grade Point Average (GPA) and was consistently on the Dean's List every semester.

Throughout my studies, I immersed myself in core computer science, engineering, and mathematics, building expertise in key technical areas. My Computer Science coursework provided a deep foundation in Object-Oriented Programming (OOP), Data Structures, Runtime Complexity, advanced algorithms, dynamic programming, and randomized algorithms. In Computer Engineering, I gained extensive knowledge of low-level programming, virtual memory, concurrency, persistent/distributed file systems, cache locality, and CPU architecture, alongside studies in compilers for custom language design. My Computer Graphics focus was on leveraging the GPU rendering pipeline. My strong Mathematics background spans Linear Algebra, Discrete Math, Numerical Methods, and advanced Calculus, enhancing my understanding of proofs, multidimensional systems, and differential equations. This rigorous and comprehensive academic approach has honed my technical and problem-solving skills for complex programmatic challenges.