At MDA Space, I realized that good engineering design doesn't matter if you can't get the parts on time. A huge chunk of my work was just untangling the procurement cycle. The team didn't have enough visibility on material status, so I built an internal tracking tool to fix that. It pulled data from multiple ERP systems and gave engineers a real-time view of where their parts were in the supply chain.

I also spent a lot of time on the floor improving the machine shop and labs. We implemented 5S, created standardized work instructions, and optimized tool layouts. By standardizing the workspace and cutting out non-value-added steps, we saved the company about $450k annually. It taught me that the best improvements usually come from just listening to the people doing the work.

This was my first real look at mass production. It’s very different from school projects where you make one prototype and hope it works. Here, we were pushing out over 1,000 units a week.

I did a lot of the grunt work—QA testing using software and hand-soldering components onto PCBs. It was repetitive, but it forced me to be disciplined. It gave me a solid appreciation for how hard it is to maintain consistency in electronics manufacturing.

I'm working on the fuel tanks (pressure vessels) for our liquid-propellant rocket. We need these tanks to be extremely light but strong enough to hold fuel under massive pressure.

The main issue was that wrapping carbon fiber by hand is too inconsistent. To fix that, I designed a custom filament winder. It's basically a machine that automates the layup process to ensure perfect tension and layering. I also wrote the SOPs for the manufacturing process. It’s been a great way to learn about composite manufacturing outside of a textbook.

Designed components and manufacturing processes for an annual production run of 20,000 units of an RC car. Covered aluminum wheels, thermoformed shell body, and composite chassis.

Led a multidisciplinary team to build a "Semi-Autonomous Modular Indoor" farm prototype using Arduino. Integrated hardware sensors with a mobile app UI created in Figma.

For my Additive Manufacturing Design project, our team built a workflow to visualize climate change data physically. The goal was to take abstract data and turn it into a tangible 3D model that anyone could hold.

My role focused on the software pipeline and fabrication. We automated the process of grabbing Digital Elevation Model (DEM) data from NASA/Google APIs, processing the heightmaps in Blender to remove noise, and generating printable STL files.

A key technical challenge was designing the "water" inserts. I developed a method to generate a separate, boolean-subtracted volume for the ocean that perfectly mated with the terrain mesh. This allowed us to print the terrain in green and the water in blue using filament swaps, creating a clear, educational visualization of how rising sea levels impact specific coastal cities.

Designed a custom laptop stand to improve ergonomics and thermal dissipation. The innovative design raises the laptop, promoting better airflow and significantly lowering operating temperatures.

Developed a practical 3D printed utility blade holder to assist with shop tasks such as opening boxes and deburring materials.

Developed a 2D platformer using Unity and C#. Published the final build to itch.io, achieving 3,000+ unique player downloads.

A passion project exploring incremental game mechanics. Collaborated with a digital artist to design custom assets and implemented game logic in C#.

This project was an experiment to test the capabilities of Generative AI in full-stack web development and branding.

• Code Generation: HTML, JS, and CSS were generated using ChatGPT 3.5 prompts.
• Asset Generation: Product imagery and logos were created using Bing AI and LogoAI.
• Persona Generation: "Fake" profiles were generated using neural network tools (thispersondoesnotexist.com).

I wanted to apply an engineering mindset to personal finance. Most investment calculators just assume a flat return rate (e.g., 7% every year), which ignores the reality of market risk.

Monte Carlo Simulation: I built a Python engine to brute-force 500 different market scenarios. By introducing a "Volatility" variable (standard deviation), the app generates a "cone of uncertainty"—showing not just the expected outcome, but the range of possibilities.

Performance Analysis: The tool visualizes the spread between the 10th percentile (bad market luck) and 90th percentile (good market luck). In the screenshot example, it shows how a portfolio could drift by over $1M due to volatility alone, helping users plan for safety rather than just best-case scenarios.

SPOOL. is an interactive web experiment that merges typography with 3D geometry. I wanted to build a tool that allows designers to break free from 2D constraints and treat text as a physical, malleable texture.

Tech Stack: Built using standard Web Technologies (HTML5/Canvas). The engine calculates vertex positions in real-time to wrap text strings around mathematical primitives like Tori, Spheres, and Cylinders.

Key Features: Users can manipulate "Kinetic Modulation" parameters—applying sine-wave distortions, wobble effects, and variable font weight transformations live in the browser.

Most incremental games are just spreadsheets in disguise. I wanted to build something where you actually see the progress. I programmed the logic to construct every project block-by-block in real-time—from garages to space stations. This required balancing procedural environment generation with an exponentially scaling economy.

Key Technical Implementations:

• Procedural Generation: Designed algorithms to generate unique, noise-based environments for every level (from cityscapes to orbital space).
• State Management: Built a robust logic system to handle exponential economy balancing, upgrade dependencies, and prestige resets.
• UX & Polish: Implemented dynamic camera controls, bloom lighting, and particle effects to ensure high-quality user feedback.

A lightweight web application designed to help users efficiently organize, filter, and clean up their Gmail inboxes.

Key Features:

Inbox Management: Streamlines the sorting and filtering of large volumes of emails.

Secure Integration: Leverages official API endpoints for secure data handling and user authentication.