Experience

Building production-grade engineering systems across the full stack.

Co-authoring a working paper on the ADAPT framework for cross-surface prompt engineering in AI ecosystems with a Principal Architect at Microsoft and 2 university researchers.

Validating and formally analyzing a theoretical framework mapping how interaction surface architecture moderates prompt effectiveness, drawing on 8 published field studies.

Designing and running evaluations to test prompt portability across OpenAI, Google, and Anthropic model ecosystems, comparing output quality across API, document, and chat surfaces using a custom scoring rubric.

Managed club operations and a roster of 50+ members, coordinating events, workshops, and speaker sessions focused on applied AI and machine learning.

Organized hackathon preparation workshops and study sessions, helping members build and ship projects under time constraints.