AI Software Engineer Intern working on AI features, ML pipelines, and RAG systems at Deepiri, a research collective of 35+ developers from top universities building autonomous AI systems and productivity platforms.

Built production APIs that reduced transaction failures by 45% and handled thousands of concurrent requests. Developed an automated archival system that cut storage costs by $57,600 annually through intelligent data management.

Designed an end-to-end ML pipeline that improved emotion classification accuracy from 70% to 88% through systematic feature engineering. Deployed the system to Google Cloud Platform with optimized performance, serving 10+ active users.