JD/MBA candidate · Indiana University

Preparing for the next
generation of transactional work
at the intersection of law, finance,
and technology.

JD/MBA candidate at Indiana University, with a background in data science, QA, and product management. My portfolio project Argus is an M&A drafting and review demo on Vertex Gemini, Cohere, and Neon pgvector.

Education

Indiana University — Maurer School of Law & Kelley School of Business. J.D./M.B.A., Class of 2029.

Summer 2026

Legal intern at OPLGunnerCooke in Budapest, focused on LegalTech and data privacy, as a Stewart Fellow.

Portfolio

Argus — an M&A drafting and review demo on Vertex Gemini, Cohere, and Neon pgvector.

Featured project

Argus

An M&A drafting and review demo: generate, revise, or redline contracts in a track-changes workspace, or chat with an 11K-chunk M&A corpus. Corrective RAG pipeline — anonymize → embed → retrieve → rerank → generate — built on Vertex Gemini 2.5 Flash, Cohere Embed v4 + Rerank 3.5, Neon pgvector, and Supermemory.

FlaskVertex AICohere Rerank 3.5Neon pgvectorSupermemoryCloud RunCRAG