• Contributed to open-source computational biology tool with more than 90,000 registered users
• Prototyped AI agents to generate Python scripts, R scripts, and Dockerfiles using LangGraph
• Engineered pipelines to support cloud-based data processing using Python, R, and Docker
• Utilized OpenAI and LangChain to implement RAG chatbot for platform support

• Engineered scalable fleet logistics solution for federal agencies using Palantir Foundry
• Utilized Python, Foundry Pipelines, and OpenAI to migrate data from legacy datasets
• Deployed website to manage vehicle reservations using Next.js, Tailwind, and shadcn
• Employed Workshop, Countour, and AIP to create AI agents for vehicle teams

• Deployed internal Python library to automate ETL process for vehicle reports
• Improved runtime of internal ArcGIS dependency scraping script by 99.7%
• Engineered data pipeline to populate Neo4j knowledge graph using GPT-4o
• Built Python library to enable integration between internal LLM API and LangChain
• Prototyped AI-powered simulations using AI agents built with LangGraph and Neo4j

• Built demos to showcase product for a startup building a computer vision API
• Engineered interactive live-action fitness rep counter utilizing computer vision
• Deployed user-friendly Next.js mobile web app to demonstrate enterprise use cases
• Implemented AI-powered profile photo cropper with Next.js and TailwindCSS

• Worked with UI/UX designer to transfer Figma design to frontend with vanilla CSS
• Developed interactive maps for machine learning researchers using Leaflet and React
• Implemented various buttons to adjust user interface via UseState and Use Effect
• Created configurable GeoJSON objects for analysis of environmental research data

• Cleaned/processed 1,000,000+ datapoints for food program participation using Pandas/Numpy
• Created 80+ graphs to visualize program trends with Matplotlib, Pandas, and Numpy
• Generated templates to promote inclusive data reporting with GeoPandas and Matplotlib
• Developed Data Literacy curriculum for 235 students in internal Data Science Training Program

• Developed "Reset Password" functionality for 80+ users using TypeScript and Supabase
• Automated 300+ email notifications based on user information using TypeScript and Postmark
• Developed email templates and databse schema to ensure correct notification formatting
• Examined the use of OCR and LLMs to automate insurance quote generation