Experience & Education

Specialization in Operating Systems and Parallel Computing

Thesis Area: Heterogeneous Architecture and Efficient Scheduling Algorithms

Minor in Applied Mathematics

• •Increased student engagement across 3 core CS courses (Discrete Mathematics, Operating Systems, Programming Language Foundations) serving 80+ students per semester by developing interactive course websites with custom lecture notes and hands-on examples
• •Redesigned Discrete Mathematics curriculum from scratch, creating 6 new problem sets composed of both theoretical and programming exercises with interactive demonstrations that bridge theoretical concepts with practical CS applications
• •Modernized Operating Systems course by introducing Rust-based lab assignments and parallel computing concepts, preparing students for contemporary systems programming careers
• •Mentored 3 independent study students on advanced research projects, with one project receiving university research funding and being deployed as an official tool for detecting AI-generated code in student assignments
• •Guided student research spanning graphics programming (GLSL shaders), full-stack systems development (multi-threaded Rust servers), and kernel-level security (anti-cheat systems)

• •Supported 100+ students across upper-division theory courses (CMSI 3801/3802) over 3 years, providing tutoring in programming language theory and formal automata
• •Guided students through mastery of 5 programming languages (Python, JavaScript, Java, C++, Swift) by conducting weekly tutoring sessions and code reviews
• •Mentored students in designing and implementing complete interpreters and compilers from scratch, reinforcing theoretical concepts through hands-on project work
• •Extended tutoring support to freshman and sophomore courses, helping students build foundational programming skills and computational thinking

Competed 3 times at ICPC regionals hosted at Riverside Community College. Led team of 3 to achieve the highest point total in LMU history through self-taught competitive programming skills, as the university curriculum does not specifically prepare students for algorithmic competitions.

Guided student through computer graphics fundamentals and GLSL shader programming, culminating in custom hand-built shaders for the video game Minecraft.

→ Student gained practical experience in GPU programming and real-time rendering techniques.

Mentored development of a full-stack, multi-threaded HTTP REST server written in Rust that uses containerization to run student code in a sandboxed environment to provide faculty with additional support in grading student assignments with analytics. Went on to receive additional faculty support and university research funding and is now deployed as an official tool used by faculty across the Computer Science department.

→ Project received additional faculty support and university research funding and is now deployed as an official tool used by faculty across the Computer Science department.

Advising student research on kernel-level anti-cheat systems for video games with dedicated servers, exploring low-level security and driver development.

CMSI 2820: Discrete Mathematics for Computer Science

Completely redesigned course curriculum to emphasize practical applications of discrete math in computer science. Developed new problem sets, interactive examples, and assessment strategies focused on building intuition alongside formal understanding.

CMSI 3510: Operating Systems

Rebuilt course from the ground up to reflect modern operating systems concepts and parallel computing paradigms. Focused on how design decisions affect real-world use of devices by incorporating how common software use is altered by small changes to hardware or software features.

Led manufacturing division of 8 team members to World Championship victory by managing CNC machining operations, coordinating $3K+ budget, and ensuring precision fabrication of competition robot components.