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Amine Sbah

@aminesbah

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Big Data & AI engineering graduate specializing in NLP/ML, building production-grade LLM and RAG systems.

Zimbabwe

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What I'm looking for

I’m looking for an NLP / ML Engineer role where I can build end-to-end LLM systems and multi-agent RAG pipelines in production, with emphasis on evaluation, tool calling, and dependable self-correction.

I’m a Big Data & AI Engineering graduate with production-level experience building end-to-end LLM systems. I train Transformers from scratch, fine-tune LLMs, and focus on reliable, deployable NLP/ML solutions.

I’ve built multi-agent RAG pipelines with self-correction, including Standard RAG, Agentic RAG, and hybrid routing/merging. Using LangGraph state loops, I validate answers with LLM-as-judge scoring and iterate with query reformulation until I return the highest-scoring response.

I also develop autonomous AI agents with graph memory and evaluation, persisting conversation state in PostgreSQL and exploring Neo4j-based channel and memory retrieval. Beyond LLMs, I created an LSTM Seq2Seq machine translation model from scratch and deployed it via FastAPI, routing between custom and MarianMT approaches.

Experience

Work history, roles, and key accomplishments

Big Data & AI Engineering

École Nationale des Sciences Appliquées de Tétouan

Big Data & AI Engineering graduate with hands-on experience building end-to-end LLM systems, including Transformer training, QLoRA fine-tuning, and multi-agent/self-corrective RAG pipelines.