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Matthew Tujague

I build useful software across AI tools, full-stack products, data workflows, and hardware-adjacent systems.

I am usually working somewhere between product ideas and implementation details: turning rough workflows into clean apps, APIs, dashboards, automations, and tools people can actually use.

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What I Work On

  • Developer tools and AI workflows: orchestration, project chat, tool calling, GitHub integrations, evaluation loops, and automation-heavy product flows.
  • Full-stack products: polished React interfaces backed by real auth, databases, admin tools, audit trails, and deployable APIs.
  • Data products: large-dataset analysis, backend reporting workflows, dashboards, simulations, and applied research prototypes.
  • Hardware-adjacent software: telemetry, embedded projects, sensor data, Raspberry Pi workflows, visualization, and low-level systems work.

Selected Work

Product What it does Built with
2jog.dev portfolio Personal platform with a project browser, animated UI, admin tools, legal audit workflows, activity feeds, and project-aware chat. React, TypeScript, Express, Supabase, Drizzle, Three.js, Playwright
AvionicsRocketSystemsF24 Rocket telemetry software for radio transmission, sensor capture, live visualization, and Raspberry Pi flight-support workflows. Python, Flask, Socket.IO, LoRa, Raspberry Pi, WebGL
PipSurvivor Embedded survival/sensor project with emergency-detection docs, mesh visualization notes, C++ source, and 3D-print shell assets. C++, PlatformIO, embedded systems
QuStoch Market-simulation prototype with stochastic modeling, analytics, and web-based visualization. Python, NumPy, Matplotlib
Fortran_Interpreter C++ interpreter project with lexer/parser structure and runtime/compile-time error reporting. C++, language tooling

Core Stack

Product Engineering

React TypeScript Vite Tailwind CSS Three.js

Backend and Data

Python FastAPI Express Flask PostgreSQL Supabase SQLAlchemy Hadoop

Systems and Tooling

C++ C Java Docker Playwright Pytest GitHub Actions

Most Used Languages    GitHub Stats

A Bit More

I like building things that feel practical: admin panels that save time, APIs that are easy to reason about, visualizations that make data less abstract, and tools that turn repetitive engineering work into something smoother.

Current areas I am interested in: AI developer tools, full-stack product engineering, applied data systems, telemetry, security-minded tooling, and software that sits close to real-world operations.

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