Industry work
Financial question answering system
Engineering a financial chatbot with named-entity recognition, table extraction and automated answer evaluation.
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 question answering, document extraction and automated answer evaluation.
Scope
NLP / AI Data Science Intern at Fidelity Investments; financial chatbot evaluation, named-entity recognition and table extraction.
Confidentiality
Client source code and implementation details are not publicly shared.