Independent Software Engineer & Product Builder
I'm José Alvarez Cabrera. I work across full-stack systems, AI, scientific computing, automation and cloud infrastructure — taking projects from an ambiguous problem to working production software.
Mathify — AI
The Green Card Game — Interactive
AI4Science Physics Simulation Platform — Scientific Computing
A few of the systems, products, experiments and technical rabbit holes I've built over the years.
An AI platform that turns a plain-language prompt into a rendered math or physics animation.
Mathify API & n8n workflow
Driving the render pipeline as infrastructure, not just a web app.
3D interactive Manim / VTK
Scientific 3D visualization built on top of the rendering stack.
An interactive explainer of U.S. immigration law for the Cato Institute — plus the visual programming tool that made it editable.
800+ screens editable by nontechnical authors
NewsNation segment
The project covered on national television.
Cloud-native experimentation with physics-informed neural networks and scientific simulation workflows.
An AI platform where children's stories are written, illustrated and read inside one product.
A production mobile reading app built in Unity and C#, with 30,000+ downloads across platforms.
Smaller builds, courses and experiments — solvers, causal inference, games, odd product ideas.
A long-form course teaching scientists and engineers to build physics-informed neural networks with NVIDIA Modulus.
An AI-powered tool for learning Chinese through the Bible — an unusual idea taken to working software quickly.
Building a computational fluid dynamics solver in Python, from the numerical methods up.
An educational number-sense game built in Unity and C# while at Minerva University.
Implementing a causal inference method from the econometrics literature, explained step by step.
The reel
Mathify
The Green Card Game
AI4Science Physics Simulation Platform
ReadingClub.ai
Reading Club Mobile App
NVIDIA Modulus Crash Course
Production web applications built from the frontend through the backend, data layer, authentication, APIs, infrastructure and deployment.
LLM-powered products, agents, tool-calling workflows, retrieval, evaluation infrastructure, human-in-the-loop review, and AI wired into software people actually use.
Queues, workers, schedulers, event-driven pipelines, generation and processing jobs — the work that doesn't fit inside one HTTP request.
Interfaces and infrastructure around simulation, numerical methods, visualization, AI4Science and research workflows.
Software that replaces repetitive operational work and connects the systems, APIs, databases and models a business already runs on.
Taking a notebook, spreadsheet process, proof of concept or AI experiment and turning it into something dependable.
Start with the actual workflow, bottleneck or constraint instead of prescribing technology first.
Turn it into product requirements, architecture, interfaces, infrastructure and a plan for getting there.
I work across the stack, so you aren't coordinating separate frontend, backend, AI and infrastructure contractors.
Deploy it, put it in front of real use, watch what breaks, and keep improving it.
Most software projects require a designer, a frontend engineer, a backend engineer, an AI engineer, a cloud engineer and someone holding the product together. I can usually span those boundaries myself — which matters most at the 0→1 stage, when speed, judgment and one coherent architecture beat headcount.
Frontend
Backend & systems
AI
Scientific
Also
My background crosses software engineering, computational science, AI, product development and independent product building. I've shipped production mobile apps, interactive policy tools, scientific computing workflows and AI generation systems — usually learning whatever the problem required along the way.
More about meTell me what you're trying to make, automate, or figure out. If it's a good fit, I'll help turn it into working software.