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Alejandro de la Fuente — AI Engineer

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  1. ai-jie ai-jie Public

    LLM extraction pipeline for job postings; ~80% skill classification accuracy via chain-of-thought scaffolding.

    Python

  2. digital-twin digital-twin Public

    An agentic RAG system that represents Alejandro de la Fuente professionally — classifying each recruiter query into one of five branches, dispatching branch-specific retrieval and tools, and gating…

    Python

  3. llm-engineering-lab llm-engineering-lab Public

    Hands-on LLM projects: fine-tuning, RAG with evaluation, multi-agent systems.

    Python

  4. job-intelligence-engine job-intelligence-engine Public

    Job-market intelligence engine: interpretable skill/salary signals, best-now vs stretch recommendations, and ROI-ranked upskilling—Streamlit app.

    Python