I’m Aimen Guedhami, an AI/ML & data automation engineer focused on building retrieval-augmented generation (RAG) systems and LLM-powered workflows that reliably connect to real-world data. I enjoy designing hybrid retrieval pipelines, evaluating LLM performance with clear metrics, and improving grounding through adaptive prompting strategies that work across multiple model families.
I also bring strong engineering fundamentals Python automation, REST API integrations, and cloud-native deployments with Docker and Kubernetes so prototypes can evolve into production services. Through my work and ongoing research, I aim to create practical, measurable AI solutions, from emotion recognition benchmarks to agentic systems that can call tools and support data-driven decision-making.
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