Scaling and optimizing pre- and post-underwriting workflows by building an end-to-end funding experience—from AI-driven automation to payment infrastructure.

Key Achievements:

• Enhanced and developed AI systems for document classification, data extraction, and underwriting support workflows.

• Built a reusable AI agent library integrating LangGraph, LangChain, and Gemini SDK to accelerate prototyping and launching AI agents into production.

• Led full-stack development of an ACH payments platform (FastAPI, Postgres) enabling customers to initiate, process, and track transactions.

Key Achievements:

• Designed and built a founder-student matching pipeline, by implementing the Gale-Shapley stable matching algorithm in Python, to match NYU Stern MBA student with cohort startups based on interests/ranking metrics.

• Built data pipelines using AWS Lambda(Python runtime) and Google Sheet integrations(AppScript) to support day-to-day operations, used by program directors to find up and coming startups, funding trends.

• Maintained the live web application, by developing new features, fixing bugs and refactoring components, using React.