Ramez Alhinn
Software Engineer Ai & Infrastructure Automation @麦格纳国际
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WORK HISTORY
Software Engineer Ai & Infrastructure Automation @麦格纳国际
Munich, DE
Architected Python ADAS calibration engine, automating parameter validations across 15+ variants- Re-engineered C++ pipelines into a cross-platform engine via runtime reflection and memory mapping- Engineered a RAG-based AI agent with vector databases, improving engineering onboarding by 30%- Automated VectorCAST code coverage via GPT-4 driven probe point generation.
EDUCATION
Collège De La Salle - Frères
A-level GCE
Technische Hochschule Ingolstadt
Master's degree, AI Engineering
Collège De La Salle - Frères
IGCSE
Technische Hochschule Ingolstadt
Bachelor of Engineering - BE, Autonomous Vehicle Engineering
ABOUT RAMEZ ALHINN
Software Engineer focused on automating complex engineering workflows with AI, while building and validating ADAS Software-in-the-Loop (SiL) systems in C++.3+ years of hands-on industry experience across automotive software, embedded systems, and system architecture, working with C++, Python, ROS2, AUTOSAR, and AI-driven tooling. I specialize in reducing manual effort by turning repetitive, error-prone processes into robust, automated pipelines, from testing frameworks to architectural workflows.I work comfortably in safety-critical environments, bringing a systems mindset to problem solving: break complexity down, automate what scales, and validate what matters.Currently pursuing an M.Eng. in AI Engineering, with a focus on edge AI, autonomous systems, and practical AI integration into real engineering workflows.Building systems. Supporting people. Always evolving.
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