Systems Architecture & Experimental Tools
Exploratory platforms and internal systems
Problem Statement
Not all tools are production systems. Some projects exist to explore technical concepts, test architectural ideas, or solve specific internal problems that do not warrant public releases.
Professional work generates recurring friction points: information retrieval, workflow coordination, financial tracking, and data organization. Generic solutions often over-engineer the problem or fail to address domain-specific requirements.
Experimental tools serve multiple purposes: they validate technical approaches, demonstrate systems thinking, and occasionally evolve into production platforms. They also provide a laboratory for testing ideas without the constraints of public-facing product development.
Solution & Approach
These projects share a common approach: identify a problem, design a solution, build it cleanly, and move on. No over-engineering. No unnecessary features. Just functional systems that solve defined problems.
A custom-built e-commerce store to sell LAYERS FOR EVERY CONDITION. Essential base layers designed for warmth, comfort, and movement. Currently features product links to Amazon, with the goal of building the brand into Truncs at truncs.everydaylayer.com.
A link shortening and tracking tool for managing URL references across projects. Built to solve a specific workflow inefficiency without relying on external services.
A recipe and meal planning platform with structured ingredient management and dietary tracking. Designed for personal use with deliberate simplicity.
A personal financial tracking tool for reconciliation and transaction categorization. Built to provide clarity without requiring third-party account integrations.
Various utilities for automating repetitive tasks, generating structured reports, managing project data, and improving internal workflows. Most remain internal by design.
Technical Stack
Languages & Frameworks
TypeScript, React, Next.js, Python, Node.js (varies by project)
Data & Infrastructure
PostgreSQL, Firebase, Vercel, various APIs depending on requirements
Development Approach
Rapid prototyping, minimal viable scope, emphasis on solving specific problems without feature creep
Impact & Outcomes
These projects serve their intended purpose: solving specific problems cleanly and efficiently. Some remain in active use. Others were learning exercises. None required scaling beyond their original scope.
The value is not in the individual tools themselves, but in the accumulated practice of designing systems, managing scope, and building functional solutions without unnecessary complexity.
What this demonstrates: Systems thinking, scope management, ability to ship functional tools quickly, technical versatility across different domains, and the discipline to avoid over-engineering. Experimental work reinforces the same principles that govern production systems: clarity, intentionality, and restraint.
Skills Demonstrated
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