LLM/AI Development* Created retrieval-augmented generation (RAG) API for HelpDesk questions* Implemented enhanced RAG and LLM accuracy evaluation for products* Developed multi-agent LLM orchestration tool to perform complex tasks, including SQL code generation and execution, web searching, and mapping* Researched and deployed secure internal LLM with Docker, GitLab, and vLLMData Science Tools* Developed a web scraper API for parallelized web scraping using Scrapy in Python* Automated the creation of complex shipping logistics model inputs in Python* Replaced manual accountant asset matching process with a Python-based entity resolution and Pandas data manipulation pipeline

* TA for online Statistical Machine Learning graduate course* Graded homeworks, hosted instructive office hours, and answered student questions

• Manipulated, cleaned, and analyzed health and locational datasets in R• Applied economic & statistical models for an academic paper on veterans’ health

• Assisted Professor Friedberg with various projects analyzing HRS data in Stata• Implemented econometric methods and data manipulation

• Performed initial interview assessment of clients and attended client meetings

• Used R, STATA, and Excel to analyze financial and employment data• Created memos and reports concisely communicating in-depth research• Logged, reshaped, and manipulated large datasets in SAS for database project

• Worked directly with UVA football coaches to create win probability model in R• Created virtual Markov chains to simulate football games and presented findings• Generated model-based, physical deliverable for in-game coach decision making