CarbonLens
2026A full-stack urban carbon compliance platform built at EcoHack 2026, combining real emissions data, a RAG-powered AI analyst, and interactive city comparisons.
A full-stack urban carbon compliance platform built at EcoHack 2026, combining real emissions data, a RAG-powered AI analyst, and interactive city comparisons.
A 30-hour data science competition at SMU where we built an XGBoost readmission prediction model to surface how care fragmentation drives worse patient outcomes.
An offline-first calorie and macro tracking PWA built around carb cycling — assigning low/moderate/high-carb day types instead of a single flat daily target.
A calm, scalable portfolio built with typed MDX content, static rendering, and a system designed to grow without getting noisy.
A full-stack real estate feasibility platform that evaluates parcel build potential using zoning constraints, construction cost models, and live comparable market data.
A payment and admin web application paired with autonomous robot navigation powered by real-time human detection and computer vision.
A full-stack urban carbon compliance platform built at EcoHack 2026, combining real emissions data, a RAG-powered AI analyst, and interactive city comparisons.
A 30-hour data science competition at SMU where we built an XGBoost readmission prediction model to surface how care fragmentation drives worse patient outcomes.
An offline-first calorie and macro tracking PWA built around carb cycling — assigning low/moderate/high-carb day types instead of a single flat daily target.
A calm, scalable portfolio built with typed MDX content, static rendering, and a system designed to grow without getting noisy.
A full-stack real estate feasibility platform that evaluates parcel build potential using zoning constraints, construction cost models, and live comparable market data.
A payment and admin web application paired with autonomous robot navigation powered by real-time human detection and computer vision.
A full-stack urban carbon compliance platform built at EcoHack 2026, combining real emissions data, a RAG-powered AI analyst, and interactive city comparisons.
A 30-hour data science competition at SMU where we built an XGBoost readmission prediction model to surface how care fragmentation drives worse patient outcomes.
An offline-first calorie and macro tracking PWA built around carb cycling — assigning low/moderate/high-carb day types instead of a single flat daily target.
A calm, scalable portfolio built with typed MDX content, static rendering, and a system designed to grow without getting noisy.
A full-stack real estate feasibility platform that evaluates parcel build potential using zoning constraints, construction cost models, and live comparable market data.
A payment and admin web application paired with autonomous robot navigation powered by real-time human detection and computer vision.