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bps1418

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AI/ML systems for financial services. Building NL2SQL, agentic pipelines, and LLM architecture for wealth management at scale. Writing at superml.dev

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In financial services AI isn't theoretical. We recently build NL2SQL agentic systems for wealth management, systems that work in production are ones where domain experts (compliance, risk, portfolio) collaborated to define the semantic layer first. Solo + AI builds skip that step and it shows immediately under edge cases. SR 11-7 model risk governance exists partly because this failure mode already happened before LLMs existed.