(Regarding: Python, SQL, LangGraph, and Sia GPT)

For Python and SQL, I highlighted my experience building scalable backend services and optimizing database retrieval. When discussing LangGraph and agentic workflows, I explained my approach to designing deterministic state machines to ensure autonomous agents execute tasks reliably without falling into infinite loops. Regarding Sia GPT and enterprise AI, I drew direct parallels to my own RAG implementations. I explained how I previously indexed over 100,000 complex legal documents using FAISS and fine-tuned open-source models with LoRA to ensure the AI provided secure, strictly traceable, and hallucination-free answers—which is exactly the kind of business-centric reliability required for enterprise consulting

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(Regarding: Python, SQL, LangGraph, and Sia GPT)

For Python and SQL, I highlighted my experience building scalable backend services and optimizing database retrieval. When discussing LangGraph and agentic workflows, I explained my approach to designing deterministic state machines to ensure autonomous agents execute tasks reliably without falling into infinite loops. Regarding Sia GPT and enterprise AI, I drew direct parallels to my own RAG implementations. I explained how I previously indexed over 100,000 complex legal documents using FAISS and fine-tuned open-source models with LoRA to ensure the AI provided secure, strictly traceable, and hallucination-free answers—which is exactly the kind of business-centric reliability required for enterprise consulting

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