Python-focused Software Engineer with experience contributing to scientific simulation
infrastructure (ESA Pyxel) and large-scale open-source systems (GitLab ecosystem).
I specialize in configuration validation, structured YAML/JSON workflows,
developer tooling, CI/CD integration, and reliability improvements.
I work in distributed, Git-based engineering environments and focus on
building systems that are maintainable, well-documented, and production-aware.
My engineering approach prioritizes clarity, structural integrity,
and reducing configuration and input-related risk.
| Technical Skills Overview |
| Languages & Frameworks |
Python, TypeScript, JavaScript, Java, Rust, PHP, Laravel, Astro, Flutter,
HTML/CSS, Bash, PowerShell, GDScript (Godot), Lua (PICO-8), Hugo
|
| Databases |
SQL (PostgreSQL, MySQL, SQLite)
|
| Tools & Platforms |
Git & GitLab, GitLab CI/CD, Docker, Composer, Electron, Tauri, Capacitor,
Raspberry Pi, AWS, Azure, Cisco Packet Tracer, Reveal.js, SourceHut, PyPI,
Node.js & npm, Jupyter, JSON & YAML, PuTTY (SSH), Gradle, GPT4All,
ORCA Mini (GGUF), NASA DONKI API, Pyxel, Selenium
|
| Systems & Identity Management |
Microsoft Entra ID (Azure AD): user & group management, RBAC, MFA,
authentication policies
|
| Practices |
Agile, ITIL, GDPR, ISO/IEC 27001, DevOps & DevSecOps, UI/UX,
accessibility (WCAG), testing, documentation
|
| Game Development |
Godot Engine, PICO-8 (Lua), Android Studio, Twine, pixel-art workflow
|
| Cybersecurity Tools |
Wireshark, Nmap, Shodan, WhatWeb, Nikto, curl, Netcat, Metasploit,
theHarvester
|
| Engineering Experience |
-
ESA Pyxel – Scientific Simulation Framework (Python)
Delivered validation enhancements, configuration safeguards,
and schema-aware tooling for a research-focused image sensor simulation platform.
Designed and developed Pyxel Config Lab, a guided YAML configuration builder
with structured validation logic and contextual error handling.
-
GitLab Ecosystem – Backend & Reliability Contributions
Implemented backend validation safeguards, improved JSON parsing reliability,
enhanced documentation structure, and contributed to safe input handling
across distributed modules within a production-aware workflow.
|