Hey, I'm Nathan

A software that automated tasks for our users on Discord & across the NFT space. I focused on the backend modules, specifically the NFT ones. We built a community of 2,600+ members throughout the whole process. Some features that we had: MagicEden NFT Sniper, user set a price for a specific NFT, we h&led searching the backend for it, & proccessed the transaction on the blockchain it as soon as it finds the matching parameters. Multi-Threaded C&yMachine NFT Minter, user set a NFT mint they wanted, we processed the transaction within a second as soon as it went live.

Full-stack development by me & my colleague. I focused on the backend. The purpose of this chrome extension was to help their users checkout a desired product in order to make a profit. By the use of automation, requests, & web scraping— this chrome extension was able to do what a human could do within in seconds. During the peak of it's era, it was highly functional & successful. Currently, I am not sure what modules work but I'm sure the shopify autofill may not be depreciated.

We were inspired by a friend’s dermatology club that asked us to create a website for skincare analysis. This sparked our idea to build an AI-powered platform that makes personalized skincare accessible and affordable for everyone. CareFi uses advanced AI to analyze a user’s skin from photos and detect common conditions such as acne, dryness, oiliness, and sensitivity. It then recommends a customized skincare routine tailored to each user’s unique needs and budget, providing insights often associated with dermatologist-quality results. Frontend/Backend: Next.js for high performance, API and App routing, SSR, and TypeScript + TailwindCSS Database: PostgreSQL for highly consistent & horizontal data storage, user authentication, RLS policies for security, and real-time subscriptions / webhooks AI + Analysis: We used OpenAI Vision (specifically gpt-4o-mini) to analyzing uploaded images. We have another agent for also the recommendation process too. Out of a list of 100 products, we send the agent 40 unique & well matched products (tier-based classification based on ingredients list) to the agent and have it write the list of recommended products and measure through a confidence scale. Architecture: RESTful API routes in /app/api/ Endpoints include: /api/signup - User registration /api/signin - User authentication /api/analysis/start - Start face analysis /api/analysis/latest - Get latest analysis results /api/recommendations - Get personalized recommendations /api/uploadImage - Upload face images /api/settings/* - User settings management Key Features Built with This Stack: Product Image Analysis - Upload photos → AI extracts ingredients Personalized Dashboard - View analysis, recommendations, KPIs Budget Optimizer - Track spending on skincare products Routine Planner - Morning/evening skincare routines Onboarding Flow - Collect user skin profile (type, concerns, allergies