I am HarbingerOfFire, a self-taught back-end developer with a primary interest in astronomy, scientific computing, and secure software design.
My work focuses on building reliable, transparent systems for analyzing complex data, with particular attention to observational astronomy and statistical inference. I am especially interested in approaches that emphasize reproducibility, numerical rigor, and clearly defined assumptions.
- Analysis of binary star systems
- Orbital parameter estimation from astrometric observations
- Measurement uncertainty and signal-to-noise considerations
- Monte Carlo and Markov Chain Monte Carlo methods
- Numerical modeling and data normalization
- Development of reproducible analysis pipelines
- Secure software architecture
- Cryptographic primitives and protocol design
- Threat modeling and defensive analysis
- Programming Languages: Python, C, Assembly, Bash, PowerShell
- Operating Systems: Linux (Arch, Kali, Ubuntu), Windows
- Infrastructure & Tooling: Docker, virtual machines, Git, GitHub, VS Code
- Data Systems: MySQL, custom data storage implementations
My current efforts are directed toward applying statistical inference methods to astronomical data, particularly in contexts where measurements are noisy or incomplete. I am exploring the use of MCMC techniques to estimate physical parameters and assess uncertainty in observational results.
Future repositories will reflect this work as it develops.
GitHub is my primary platform for sharing work and collaborating.
A personal website can be found at harbingeroffire.dev
For email correspondence:
[email protected]