High-performance, reliable software engineering across low-level systems, demanding endurance sports and uncompromised spaceflight technologies.

Welcome to Draconis Engineering, an independent multi-disciplinary initiative founded and engineered by Simon Stordal Amundgård. Draconis focuses on building scalable, performance-driven software solutions utilizing modern tech stacks like Rust, Python, and Agentic AI architectures.

• Core Stack: Rust
• Domain: Systems Programming, IoT, Real-Time Interfaces
• Overview: A minimalist, lightweight, and high-performance alternative to legacy platforms like Zwift or Rouvy. Built natively in Rust for absolute efficiency, it serves as a robust terminal-based smart trainer control dashboard.

• Core Stack: C++, Fortran, Julia
• Domain: HPC, Linear Algebra, Low Level
• Overview: A high-performance computation platform written from scratch.

• Core Stack: Python
• Domain: STEM Computing, High-Performance Analytics
• Overview: A multi-domain, highly optimized Python ecosystem engineered for scalability and mathematical precision. DuraPy provides core utilities for complex scientific engineering applications, serving as the foundational architectural layer for other Draconis machine learning systems.

• Core Stack: C++, Python
• Domain: Finance, Quantitative Analysis, Data Science
• Overview: A simulation & modeling platform for analyzing funds, indices, and more.

• Core Stack: Shell, Go
• Domain: Engineering utility
• Overview: A CLI tool written in Go that runs a collection of shell workflows to streamline iteration, development and testing of products.

The following projects are functional but not under active daily maintenance.

• 📁 MAX-Q (Composable Systems Engine): A central IT orchestration layer and micro-service manager built to compose scalable backend modular architectures.
• 📁 UniForge CLI: A Python-based command-line toolkit optimized for rapid engineering calculations, data simulations, and academic research execution.

Historic codebases preserved for reference.

• 📦 DysonSphere: A legacy mathematics and cryptography library. Superceded by the DuraPy ecosystem.
• 📦 TANGO I (Tactical Aerospace Networked Global Operator): A conceptual, aerospace mission-planning platform integrating visualization maps and telemetry simulation structures.

• Languages: Python, Rust (and expanding systems languages)
• Focus Areas: System Architecture, Mathematical Computing, Edge AI, Tooling & Optimization