Built on Constraints, Designed for Clarity.

This site features a collection of my personal projects, all self-hosted on a refurbished machine I’ve nicknamed “Toaster”. I enjoy working within constraints because they push me toward creative solutions.

Each project has a live demo you can explore, with technical details available if you want to dive deeper. The goal is simple: clear, lightweight, and easy to understand.

Projects

Rent Estimation with Machine Learning

This project is a lightweight rent estimation tool built with machine learning. It takes simple property details—like zip code, bedrooms, bathrooms, and square footage—and provides a fast, transparent monthly rent estimate. The system is designed to be easy to use and retrain, offering reliable results without the complexity or cost of commercial platforms. It demonstrates practical use of data and algorithms to solve a real-world problem in housing.

Machine Learning Data Science Predictive Modeling Feature Engineering Data Cleaning Visualization Python pandas NumPy scikit-learn joblib matplotlib seaborn joblib
Project overview View code
Estimated Monthly Rent: $—
Estimates are model-based and approximate.

Package Delivery Optimization in Python

This project is a simulation of a real-world delivery service, where trucks must deliver packages on time while dealing with deadlines, delays, and address corrections. The system automatically plans routes, loads trucks, and updates delivery progress in real time. It demonstrates how data and algorithms can turn a complex logistics problem into a smooth, efficient operation. In short: you give it the data, and it takes care of everything from scheduling to successful delivery.

Algorithms Simulation Data Structures Routing Optimization K-Means Clustering Greedy Algorithms Constraint Handling Custom Data Structures Python CLI
Project overview View code
Program output

                  

                


              

            


          

        

      


      
      

        

          

            
Craps Web Single Page Application


            

              This project is a full-stack web app that simulates the casino dice game of craps. It uses a Spring Boot
              backend to manage game logic and an Angular frontend for an interactive table experience. The system
              already
              handles dice rolls, shooter rotation, and game phases, with betting logic and payouts planned next. It
              demonstrates how frontend and backend services work together to build an engaging, real-time application.
            


            
            

              

                

                  
                

                

                  

                    


                      
                      Full-Stack Development
                      Web Application
                      Simulation

                      
                      Frontend–Backend Integration
                      REST API Design
                      Component-Based UI
                      Game State Management
                      Iterative Development

                      
                      Angular
                      TypeScript
                      Spring Boot
                      Java
                      Docker
                      Docker Compose

                      
                      IntelliJ
                      VS Code

                    

                  

                

              

            

            


            
            

              
              
                 Live demo
              
              
              
                 Project overview
              
              
              
                 View code
              
            


            
            
          

        

      

    

  


  

    


    

      

      
      

        
About the Developer

        

          I first pursued a degree in music because I was fascinated by the idea that something so intangible could
          still be explained through theory. That same curiosity, the drive to uncover hidden structures behind what we
          experience, is what ultimately led me into software engineering. I see both music and code as puzzles with
          patterns waiting to be discovered, and now I feel like a digital mason, laying logic bricks one at a time.
        

        

          I’m methodical and analytical by nature. I prefer careful design over programming with duct tape, but I’ve
          also adapted to fast-moving teams when the situation called for it. Every project I’ve built, from the rent
          estimator to the package delivery simulator to Craps Web, represents hours of careful problem-solving and
          iteration.
        

        

          More than anything, I enjoy working alongside teammates whose minds operate like mine: nerds, builders, and
          problem-solvers who love the challenge as much as the result.
        

      

    


    


    

      

        
About the Toaster

        

          The Toaster is a late-20th-century PC repurposed as both a game server and a web server
          running headless Ubuntu Linux. Working with older hardware has helped me develop skills in identifying
          bottlenecks, tuning for efficiency, and becoming fluent on the command line.
        

        

          The site itself is fully self-hosted: custom DNS records, router port forwarding, HTTPS firewall rules, and a
          DDNS script to handle a shifting public IP. Simple, reliable, and entirely my creation.
        

      

      

        
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