Summary
Christopher Rahmé is an AI and full-stack engineer with nine years of hands-on experience building production web and voice systems from Lebanon. He combines a strong academic background—a Master's in Artificial Intelligence (3.84 GPA) and an engineering degree in Computer & Communication Engineering—with practical expertise in Vue.js, Laravel, Node.js, Python, Go, Docker, and conversational telephony stacks like Asterisk. Christopher has delivered end-to-end solutions including call center platforms with recording, billing, analytics, and multilingual AI services for transcription, translation, summarization, speaker sentiment and keyword extraction. He moves between model development (Keras, Scikit-Learn, Hugging Face) and scalable integration (RabbitMQ, MongoDB, MySQL, Docker), often owning both backend pipelines and user-facing dashboards. Unusually for an engineer focused on AI productization, he also taught astronomy to youth, demonstrating an ability to explain complex concepts clearly and design curriculum-driven projects. Currently at Innovum, he continues to bridge research-grade ML with pragmatic full-stack engineering to ship usable AI features in real-world communication products.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Artificial Intelligence, 3.84, Master's degree, Artificial Intelligence, 3.84 at Saint Joseph University of Beirut
Lebanese Baccalaureate, Life Sciences, Lebanese Baccalaureate, Life Sciences at Collège de la Sainte Famille Française Fanar
French, English, Arabic, German