Generated and analyzed Schrödinger (GHZ) cat states in Rydberg atom arrays using optimal‑control (RedCRAB) pulses; reported GHZ up to N=20 with ≥0.54 fidelity, phase characterization via parity oscillations, and coherence limits.

Purchase order processing app with OCR + product catalog matching for rapid PO verification.

AI media pipeline built to streamline media kit development for creators. Features include real-time analytics, AI-crafted pitches, and customizable templates to land brand deals.

Connecting under-exposed athletes with life-changing NIL opportunities, bridging the gap between local businesses, athletes, and collegiate programs for mutual growth and success.

Developed AI agent APIs with Pinecone, Next.js, and Python, enabling semantic search for eCommerce. Deployed a vertical AI stack for real-time personalization and data mining.

Developed a social fashion app with React, Node.js, and MongoDB. Implemented features for sharing and storing outfits, reaching over 300+ beta users on TestFlight.

A digital marketing agency that boosts local businesses online. We use AI agents to find leads, develop websites, and run targeted advertising campaigns for new customers.

Developed a DJ platform with ReactJS, integrating music recommendations, cloud deployment, user auth, audio tools, and social features, helping DJs enhance their creative workflow.

A unified platform for managing stock and cryptocurrency portfolios, offering real-time analytics, performance metrics to help investors make informed decisions.

Engineered a stock prediction system using NLP for sentiment analysis, regression modeling, and an AWS data pipeline to generate actionable trading insights from financial news.

Competed in the KPMG Ideation Challenge, building an AI-aided chip design tool with the objective of refining transistor layouts for better performance and efficiency.

Created an interactive dashboard comparing EV brands and models based on key metrics like range, battery life, and charging time to help inform consumer decisions.

Developed an AI music assistant using deep learning to analyze and augment MIDI files, generating novel and complex musical patterns for artists and music producers.

Built a content-based image retrieval (CBIR) system using AI to find images based on semantic features, deployed on AWS for fast and efficient searches.

Developed an AI microexpression diagnosis app using TensorFlow for image classification, deployed in three psychiatric clinics to assist with patient assessment and improve care.

Created an interactive narrative visualization exploring strength, stiffness, and density across material classes, making complex materials science data accessible and easily understandable for students.