LLM Research

• Contributed to backend web applications for an AI-driven travel platform using Python, increasing user

engagement by 25% through personalized itinerary generation.

• Supported backend API improvements and UI/UX enhancements to help optimize overall system performance and user engagement.

Web development.

• Engineered an AI system using GPT-4o to convert billing data into plain-English summaries, reducing

billing-related support inquiries by an estimated 25%.

• Introduced a GPT-4o-powered feature that compares current and future insurance plans, resulting in a 30% increase in plan-switch engagement.

• Implemented a GPT-4o chatbot to answer benefits-related questions and support plan search, leading to a 20% drop in support volume.

• Designed automated document processing pipelines using NLP, Computer Vision (PyMuPDF, Tesseract OCR), achieving a 40% reduction in processing time for enterprise clients.

• Constructed a LlamaIndex + RAG search system, improving document search precision by 18%, and compiled a technical report highlighting optimization strategies for deployment scalability.