All Projects

Maritime Vessel Intelligence is a browser-based simulation platform that monitors fleets of up to 10,000 vessels in real time, detecting behavioral anomalies such as AIS transponder blackouts, course reversals, and suspicious stops using a weighted multi-signal risk scoring engine. Built entirely client-side with React, TypeScript, Tailwind CSS, and Mapbox GL JS, it demonstrates production-grade performance optimization through TypedArray-backed O(n) tick pipelines and ring-buffer windowed detection — all without a backend or Web Workers.

Pipeforge is a full-stack visual pipeline builder that lets developers construct, validate, and execute data-flow graphs (DAGs) through a drag-and-drop canvas. It features nine typed nodes — including an LLM node backed by OpenRouter — dual cycle detection across frontend and backend, and a TypeScript + Vite codebase deployed on Vercel and Render. Built as a portfolio project, it demonstrates end-to-end ownership of a non-trivial graph-based tool from algorithm design to production deployment.

Asteroid NeoStats is a real-time near-Earth object tracking dashboard built with Vue 3 and powered by NASA's NeoWs API, allowing users to explore asteroid proximity, velocity, hazard status, and size across any 7-day date range. The project demonstrates full-stack frontend thinking — from API integration and data normalization to interactive data visualization and a polished space-themed UI — resulting in a compelling, production-quality portfolio piece that showcases both technical depth and design sensibility.

A self-hosted developer portfolio CMS built with Next.js 16, featuring a public-facing site (Home, About, Projects, Blog, Contact) and a password-protected admin dashboard for full content management. The project eliminates reliance on third-party CMS platforms while giving the developer complete ownership of their content, design, and deployment pipeline.

PulseBoard is a production-grade SaaS analytics dashboard built with Next.js 16, Neon Postgres, and TanStack Query — giving product teams real-time visibility into revenue, user growth, and acquisition metrics. It features custom HMAC-based authentication, server-side filtered and paginated data from a live database, and a fully responsive UI with dark mode, skeleton loaders, and error boundaries.

A full-stack SaaS fitness tracker with authentication, daily goals, calorie tracking, yoga routines, and meditation modules.

Spur AI Chat is a full-stack AI-powered customer support assistant built for e-commerce, featuring a React/TypeScript frontend and an Express/SQLite backend that routes conversations through OpenRouter's GPT-4o-mini. It demonstrates end-to-end LLM integration with persistent conversation history, a domain-specific system prompt, and a production deployment across Vercel and Render.