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A developer who loves to learn and build.
I solve complex, real-world problems using efficient, high-impact software. From machine learning and resilient web systems to financial modeling and forecasts, I develop efficient, cleanly structured code that's built to last and ready to scale. I'm currently searching for an internship opportunity for Summer 2026, and a full-time position starting December 2026.
/ about me
Hey, I'm Hunter — a passionate developer who loves building innovative solutions. I'm a CS and Econ major at the University of Michigan and most days you'll find me coding, building side projects, and diving into something that piques my interest in tech. I thrive on challenges and enjoy creating software that makes a difference. Whether it's a web app, a machine learning model, or firmware for embedded systems, I'm always eager to learn and grow in my craft.
I'm interested in full-stack development, AI/ML, computing hardware, and leveraging all of them to create user experiences that matter. I enjoy working on projects that combine creativity and purpose with technical rigor, and I'm always searching for new challenges.
When I'm not coding, you can find me backpacking in Washington, playing the guitar, struggling to learn how to love running, or constantly tweaking my golf swing. From big ideas, to clean execution, I love turning a vision into reality. Hiring? Collaborating? Just Curious? Lets connect!
/ technologies & skills
Skills Constellation
Hover or click nodes to explore my skills and their connections!
/ experience
- ▹Developed features for the new PCIe software: Pilot using Vue, Vuetify, JavaScript, Python, and APIs
- ▹Implemented efficient algorithms for Linecard-SDK with Python and PyTest
- ▹Programmed S-parameter analysis automation and Proportional-Integral-Derivative Controllers for the optical team
- ▹Gained hands-on experience with Thermoelectric Temperature Controllers (TC-720) and a Vector Network Analyzer
/ education
University of Michigan
Bachelor of Science in Computer Science and Economics
Academic Highlights
Conducted my final project for EECS 481 (Software Engineering) by contributing to the HTTPie project, enhancing its authentication, error handling, and test suite.
United States TSP Solver
Implemented a C++ program that uses Prim and Kruksal's algorithm to solve the Traveling Salesman Problem for the United States. The program uses a custom-built data structure to store the cities and uses both algorithms to find the minimum spanning tree.
Searching through a Grid
A Java project that used the scientific method to test the efficiency of various search algorithms (BFS, DFS, and A*) on a grid. The program uses a custom-built data structures to store the grid and a GUI to visualize the search.
/ projects
ThriftSwipe
Building ThriftSwipe, an online marketplace for all things thrift. Our AI algorithm matches users with clothing based on their preferences and style, making it easier to find unique and sustainable fashion. Currently looking to scale the platform with students from the University of Michigan
Express, MongoDB, React, Tailwind, Python
ThriftSwipe
Building ThriftSwipe, an online marketplace for all things thrift. Our AI algorithm matches users with clothing based on their preferences and style, making it easier to find unique and sustainable fashion. Currently looking to scale the platform with students from the University of Michigan
Express, MongoDB, React, Tailwind, Python
Automation and GUI of S-Parameter Analysis: TC-720 and VNA
Developed a python program to automate S-parameter analysis using a TC-720 temperature controller and a VNA. The script allows for easy data collection and analysis, streamlining the process of measuring and interpreting S-parameters. Also developed an interactive GUI to visualize the data and provide a user-friendly interface for analysis.
Python, Pyvisa, Tkinter, Numpy, Matplotlib