嫣然 司徒

At TalentsAI’s Qianxun DeepSearchQA Project, I completed approved AI search evaluation tasks involving multi-step web research, cross-source verification, and constraint-based reasoning. I evaluated LLM responses for factual accuracy, completeness, reasoning consistency, and source quality.

I built structured evidence chains from official websites, public datasets, regulatory sources, and institutional records. I also identified hallucinations, unsupported claims, weak citations, and inconsistencies between model outputs and source evidence.

At Industrial Bank Co., Ltd., I handled daily financial transaction processing, cash operations, and account reconciliations in a regulated banking environment. I also performed internal control checks, transaction verification, and operational risk management.

My training includes a Bachelor of Science in Statistics and Actuarial Science from Chongqing University, SOA Exams P, FM, C, and IFM, and all three VEE requirements. I apply foundational Python skills to quantitative analysis, and have deployed and maintained validator and testnet nodes in Linux and Ubuntu environments.