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MUHAMMET HÜSEYİN ARBAĞ
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Avionics & Systems Engineer | Linux & AI Architecture
Location: Kayseri, Turkey
Email: muhammet@arbag.dev
GitHub: https://github.com/muhammetarbag
Domain: https://arbag.dev

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PROFILE & CORE PHILOSOPHY
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Undergraduate in Aviation Electrical & Electronics (Erciyes University). Working 
at the intersection of deterministic physical systems (avionics, ATA standards, 
RF navigation, power grids) and modern systems software (Linux, reverse 
engineering, autonomous AI agent pipelines). Believes that code is not judged 
by how it runs in ideal scenarios, but by how it survives fault injection, 
bus drops, and memory pressure.

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EDUCATION
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* Erciyes University — Aviation Electrical & Electronics Engineering (3rd Year)
  Focus: Aircraft Electrical Systems (ATA 24), Radio Navigation & ILS (AEE 301),
  Automatic Flight Control (ATA 22 / AEE 303), Pneumatics & Bleed Air (ATA 36),
  Hydraulic Systems (ATA 29), Fuel Systems (ATA 28).

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PRIMARY PROJECTS & ENGINEERING LABS
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[1] ATA 24 Aircraft Electrical Power & Micro-Grid Lab
    - Real-time Kirchhoff matrix solver for 115V AC 400Hz 3-phase and 28V DC bus
      distribution with generator load-shedding and 15ms bus tie contactor transfer.
    - URL: https://arbag.dev/aircraft-electrical-power-lab/

[2] AEE 301 Radio Navigation & ILS Virtual Lab
    - VHF/UHF Localizer and Glideslope difference in depth of modulation (DDM)
      decoding and runway approach deviation tracking with autopilot coupling.
    - URL: https://arbag.dev/radio-navigation-lab/

[3] ARK04 Stealth VTOL Drone Platform
    - Aerodynamic 3D surface modeling, avionics bay packaging, power-to-weight 
      ratio budget, and tilt-wing transition flight dynamics.

[4] MHATv & Tizen TV Reverse Engineering
    - Dynamic plugin execution runtime for resource-constrained Smart TVs.
      Memory leak containment, IPC, and custom media streaming protocol bridge.

[5] Autonomous Agent Memory & Deterministic Data Collector Architecture
    - Grunt vs. Judgment token-efficiency pipeline, minimizing LLM consumption 
      via deterministic shell/API gathering prior to cognitive synthesis.

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TECHNICAL DOMAINS
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* Avionics & Aerospace : ATA 21/22/24/28/29/34, ARINC 429, ILS/VOR/DME, DO-178C
* Systems & Core       : Linux Architecture, C/C++, Shell Scripting, Reverse Eng
* Software & Web       : Python, TypeScript, Astro, Node.js, WebGL/Canvas
* Hardware & Tools     : Digital Oscilloscope, Logic Analyzer, KiCad, OpenSCAD
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