Engineered an ETL-oriented data pipeline for a large language model application, implementing structured extraction, transformation, and loading procedures for model-consumable input.

Constructed a multi-modal AI utility integrating internet search and reverse-index-based retrieval augmented generation, enabling binary logic evaluation over indexed content for contextual response synthesis.

Developed a chatbot interface with embedded rendering modules for syntax-highlighted code blocks and LaTeX-formatted mathematical expressions, supporting structured output visualization.

• Produced 8 deal pipeline companies’ operational due diligence and equity research

• Created 18 to 36 months financial model on 22 companies in deal pipeline

• Drove implementation of 4 standardized deal evaluation protocols by leading firm wide post-closing performance examine

• Developed pitch for portfolio company board on $35,550,000 city water project

• Analyzed over 200 sets of financial data with visualization using Python

• Researched 11 industries on year-over-year patterns

• Increased student enrollment by 34% in summer 2021 from summer 2019 by shipping new history, natural science, and languages curricula

• Saved over $20,000 per month from operation budges by implementing database and pipelines for processing classroom and administration data