Getting Started

Welcome to my workshop. I'm Thomas — a maker, developer, and relentless tinkerer.

This space is a collection of the projects I've built, the problems I've tried to solve, and the experiments I've run along the way. Some of them became products. Others were stepping stones. All of them taught me something important.

I have never been interested in building for the sake of appearance alone. I like things that work, things that reveal their tradeoffs, and things that become more interesting the closer you look. My projects tend to live at the intersection of craft and function. I want them to be technically solid, but I also want them to feel human.

What I Build

I build across the stack.

That has included hardware prototypes, embedded and robotics-adjacent systems, full-stack software, internal tools, web products, AI experiments, retrieval systems, and production-minded machine learning applications.

On one side, I am drawn to the physical and mechanical world: parts, devices, interfaces, sensors, the feeling that a system has presence. On the other side, I am deeply interested in software architecture, backend logic, cloud systems, and how intelligence can be shaped into products. I do not see these as separate identities. To me, they are part of the same instinct: understanding how systems behave and how to make them better.

Projects

ComfySpace Platform

A platform for creating comfortable digital spaces. Think of it as a personal corner of the internet — designed around calm, focus, and intentional interaction. ComfySpace represents my belief that technology can feel warm, inviting, and playful without losing seriousness or power.

The spark came from a frustration with how most digital tools feel: cold, transactional, or overwhelming. I wanted to build something that felt like a good workshop — organized enough to be productive, but relaxed enough to invite exploration.

AI Research Tools

A suite of visualization and benchmarking tools for AI research. This includes ECG signal analysis pipelines, AlphaFold protein structure prediction runners, and interactive data exploration dashboards.

What drove this work was the gap between research papers and usable tools. Models are published with impressive numbers, but actually running them — on real data, under real constraints, with real hardware — is a different challenge entirely. These tools bridge that gap. They turn published science into something you can interact with and learn from.

Biohax Scientific

A telehealth and clinical platform built for the modern age. Secure patient management, real-time diagnostics, seamless payment processing — all HIPAA compliant. This project taught me what it means to build software where the stakes are real and the constraints are non-negotiable.

Working on production healthcare systems changed how I think about reliability, security, and user trust. It is not enough for something to work in a demo. It has to survive contact with real patients, real clinicians, real regulatory requirements, and real payment infrastructure.

Why These Projects Matter

The projects in this book matter because they show more than technical output. They show judgment.

They show what I choose to spend time on, what kinds of problems pull me in, and how I respond when an idea moves from exciting to difficult. They also show that I tend to care about things that can survive contact with reality. I am less interested in isolated technical cleverness than in the harder question of whether something can actually become useful.

When people want to understand what kind of builder I am, this is one of the first places they should look. These projects show what happens when curiosity meets follow-through.