Industry work
Financial language systems
Named-entity recognition, table extraction and automatic evaluation for financial question answering.
2023Role period
The work
Built an automatic evaluation framework for a financial chatbot, reducing required human evaluation time by 67%. Trained Flan-T5 XXL for financial NER and built table-extraction techniques; reported QA accuracy exceeded 90% over 401K documents.
Context
Financial language systems and automatic evaluation.
Scope
Industry outcomes are drawn from my resume. Client source code and implementation details are not publicly shared.