What I studied

Computer Science Pragmatics

The command-line toolkit behind every later project: Bash, Git, Make, and regex.

• Build and test automationAutomated repetitive compilation and testing workflows with Makefiles and Bash scripts.

Discrete Mathematics

Logic, sets, proof writing, and graph theory.

Programming and Introductory Data Structures

C++ fundamentals, classes, pointers, dynamic memory, and object-oriented design.

• Two-Sample Statistics Tool
• Doubly Linked List and Text Editor Buffer
• Binary Search Tree and Map

• Seam CarvingA dynamic programming algorithm that resizes images by removing low-energy pixel seams.
• EuchreA playable Euchre card game with AI players and an object-oriented architecture.
• Post ClassifierA frequency-based classifier that predicts post categories from token analysis.

Data Structures and Algorithms

Algorithm design and analysis with performance-graded C++ projects: STL, hash tables, trees, graphs, and heuristics.

• SillyQL Relational Database Engine
• Zoo Routing: MST and Traveling Salesperson
• Zombie Defense Simulation
• Priority Queue Implementations

Project Studio

A hands-on project course for students new to Michigan EECS, built around open-ended side projects.

• Naive Bayes Sentiment and Emotion Classifier

Introduction to Computer Organization

C and assembly, CPU simulation, pipelining, hazard detection, and the memory hierarchy.

• Pipelined CPU and Cache Simulator
• LC-2K Assembler, Simulator, and Multiplier

Foundations of Computer Science

Proofs, automata, reductions, and complexity theory.

• Decidability and NP-completenessConstructed formal proofs using reductions and automata, and used them to argue the limits of efficient algorithms.

Software Engineering

Testing, refactoring, CI/CD, and documentation for real codebases.

• Refactoring and TestingRefactored a large legacy Python codebase for maintainability while keeping 100% test coverage, with CI on GitHub Actions.

Database Management Systems

Relational design, SQL, B+ trees, query planning, and index optimization.

• SQL Queries for Booktown and University Schemas

• SQL ParserA recursive descent parser that turns SQL-like syntax into logical plan trees, including nested subqueries.
• Query OptimizerA cost-based optimizer that uses dynamic programming to pick join orders, with predicate pushdown to cut I/O.

Web Systems

How the web works end to end: Flask, React, REST APIs, authentication, and distributed systems.

• Distributed Search Engine
• Insta485 Templated Static Site Generator

• Client-Side Insta485A React and Flask photo-sharing app with REST APIs, AJAX likes and comments, and infinite scroll.
• MapReduce FrameworkA Python MapReduce framework with a manager and workers, scheduling tasks over threads and sockets.
• Distributed Search EngineSegmented inverted indexes built with MapReduce, served by a REST API with TF-IDF and PageRank ranking.

User Interface Development

Front-end engineering and interaction design, from Figma prototypes to Vue apps.

• Asteroids Browser Gamedemo
• Artist Search Music Appdemo

• DozeOffA gamified sleep tracker prototype, shaped by user interviews, affinity diagramming, and storyboard speed dating, then built as a high-fidelity Figma prototype.
• Quest App PrototypeA Figma mobile prototype using Auto Layout, components, and variants, evaluated against Nielsen's heuristics.

Human-Centered Software Design and Development

The capstone: a team product built from user research to a working app.

• EarnedItvideo