Experience

Pursuing computer science & AI research. Focus on LLM cost optimization, generative AI frameworks, and full-stack systems.

3-person team native iOS app for niche travel discovery. Integrated Apple Maps API and custom CoreML model powering personalized itineraries backed by a real-time scraping pipeline.

Built full-stack React/Next.js web platform managing services for 100+ active clients using Vimeo API. Developed custom Roku TV app bringing interactive smart TV capabilities to 25+ in-studio clients.

Engineered novel prompt-optimization algorithm for Large Language Models (LLMs) and documented findings in an independent research paper preprint. Deployed background desktop agent intercepting and refining user prompts.

1 of 2 selected Research Assistants. Researched model cascade frameworks reducing LLM API costs by up to 35.2% while maintaining 90%+ baseline accuracy. Presented poster to 100+ professors & faculty on campus.

1 of 1 selected Lead Research Assistant. Restructured Python package operator reducing runtime cost by up to 50%. Co-authored research abstract with Ph.D. candidate; code published & used by 13k+ engineers on GitHub.

AI student productivity app presented to school board of 8+ officials reaching 1,500+ active users. Presented at IdeaToIPO investor event and awarded $25,000 investment opportunity.

Redesigned responsive website using React.js and TypeScript (integrated 80+ components). Collaborated with overseas team in Hyderabad, India, and integrated Microsoft Azure NLP models into a real-time assistant chatbot.