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I’m currently pursuing a B.A. in Computer Science at Grinnell College and a B.S. in Electrical Engineering through the 3-2 engineering program. I aspire to create tech-driven solutions to real world business problems and optimize systems using AI.
A lot of my best work has come from building things people actually use: live estimate software, warehouse tracking systems, and operational tools that improve speed and clarity. I care about product quality, technical depth, and making software feel intuitive.
I’m drawn to work that blends strong engineering with real-world usefulness — building systems that are not just technically sound, but actually impactful.
I’m originally from Chicago and curently split my time between there and Melbourne. That balance has shaped how I approach both work and life — I value ambition, strong community, and staying connected to the places that matter most.
Outside of academics and work, I love reading and I spend a lot of time playing golf on my ongoing quest to break 80.
I also care deeply about volunteer work. As co-founder of the Grinnell Student Outreach Club, I’ve helped grow a student organization of over 100 members focused on strengthening relationships with local communities.
I worked with AI to create and implement a JavaScript website for ACE Handyman Services that produces and stores live estimates for the field manager and craftsmen. This solution is still in use and unique to ACE Handyman Services.
This tool created a real competitive differentiator by making estimates faster, easier, and available in real time - something offered by no competitors.
I worked in Scamper, a Grinnell language derived from Racket. A standout project was a learning rock-paper-scissors model that tracked a user’s past choices, adapted over time, and adjusted its strategy to outperform baseline predictions.
A C-based course centered on imperative programming and structured problem solving. My final project was a polished Snake game that used image-based rendering to create smoother gameplay and a more refined visual experience.
A Java-based course focused on object-oriented design, algorithms, and building larger software systems. Notable work included agentic system design that supported more advanced neural-network style behavior and decision-making structures.
Focused on low-level assembly programming, machine organization, and digital logic. Major work included assembly code, architectural reasoning, and hands-on circuit work involving registers, ALUs, and other hardware-level concepts.
Worked in R to develop fundamental analysis tools and develop large models of data. Strengthened my background in statistics and modeling software to be used on a larger scale.
Developed a strong foundation in vector spaces, linear transformations, matrices, eigenvalues, and structured mathematical reasoning. The course strengthened the type of abstract thinking that translates directly into algorithms, systems, and modeling.
Built a foundation in mechanics, quantitative modeling, and structured physical reasoning. The course emphasized translating real systems into solvable mathematical frameworks and strengthened technical problem-solving under constraints.
Focused on electric fields, potential, circuits, capacitance, current, and magnetic effects. This course ties directly into my electrical engineering interests by connecting theory with circuit behavior, system analysis, and practical technical intuition.