Credits

- Lead engineer for the Next.JS web frontend, responsible for interface design and continuous integration. - Designed the SQL agent and the accompanying PostgreSQL database schema. - Developed a local document ingestion solution to extract structured information from text, PDF, and DOCX documents for relational database population. - Implemented adaptive response personalization based on inferred user preferences and interaction context. - Added a developer-only mode for testing different agents and features. - Migrated the web application to HTTPS. - Performed various bug fixes and optimizations.

- Managed backend deployment, including the transition from Flask backend to Django with NetID-based authentication, unified PostgreSQL database and implemented task automation using Celery. - Developed and integrated speech-to-text functionality for frontend and backend. - Working on evaluation.

- Developed core agent logic and algorithms. - Scaled and optimized the database. - Updated and enhanced the document ingestion pipeline. - Integrated a tool-calling mechanism into the agent system.

- Conducted he evaluation of ChatDKU, focusing on testing the current large language model and developing standardized datasets to ensure consistent and reliable performance assessment.

- Implemented database monitoring and performance diagnostics to ensure system stability and enable iterative optimization. - Optimized data ingestion, filtering, and storage pipelines to improve reliability and stability of the ChatDKU database. - Enhanced agent intelligence by investigating and integrating new features and retrieval mechanisms.